Skocz do pozycji: 1.

Tytuł:

Multi-objective conceptual design optimization of a domestic unmanned airship

Autorzy:

Amani, S.
Pourtakdoust, S. H.
Pazooki, F.

Powiązania:

https://bibliotekanauki.pl/articles/949225.pdf

Data publikacji:

2014

Wydawca:

Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej

Tematy:

airship
multi-objective optimization
Pareto optimality

Opis:

Autonomous airships have gained a high degree of importance over the last decades, both theoretically as well and practically. This is due to their long endurance capability needed for monitoring, observation and communication missions. In this paper, a Multi-Objective Optimization approach (MOO) is followed for conceptual design of an airship taking aerody- namic drag, static stability, performance as well as the production cost that is proportional to the helium mass and the hull surface area, into account. Optimal interaction of the afo- rementioned disciplinary objectives is desirable and focused through the MOO analysis. Standard airship configurations are categorized into three major components that include the main body (hull), stabilizers (elevators and rudders) and gondola. Naturally, component sizing and positioning play an important role in the overall static stability and performance characteristics of the airship. The most important consequence of MOO analysis is that the resulting design not only meets the mission requirement, but will also be volumetrically optimal while having a desirable static and performance characteristics. The results of this paper are partly validated in the design and construction of a domestic unmanned airship indicating a good potential for the proposed approach.

Źródło:

Journal of Theoretical and Applied Mechanics; 2014, 52, 1; 47-60
1429-2955

Pojawia się w:

Journal of Theoretical and Applied Mechanics

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 2.

Tytuł:

Handling insensitivity in multi-physics inverse problems using a complex evolutionary strategy
Rozpoznawanie niewrażliwości w wielokryterialnych problemach odwrotnych przy użyciu złożonej strategii ewolucyjnej

Autorzy:

Sawicki, Jakub
Smołka, Maciej
Łoś, Marcin
Schaefer, Robert

Powiązania:

https://bibliotekanauki.pl/articles/29520322.pdf

Data publikacji:

2019

Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Tematy:

multi-objective optimization
evolutionary algorithm
inverse problem

Opis:

In this paper we present a complex strategy for the solution of ill posed, in-verse problems formulated as multiobjective global optimization ones. The strategy is capable of identifying the shape of objective insensitivity regions around connected components of Pareto set. The goal is reached in two phases. In the first, global one, the connected components of the Pareto set are localized and separated in course of the multi-deme, hierarchic memetic strategy HMS. In the second, local phase, the random sample uniformly spread over each Pareto component and its close neighborhood is obtained in the specially profiled evolutionary process using multiwinner selection. Finally, each local sample forms a base for the local approximation of a dominance function. Insensitivity region surrounding each connected component of the Pareto set is estimated by a sufficiently low level set of this approximation. Capabilities of the whole procedure was verified using specially-designed two-criterion benchmarks.
Artykuł prezentuje złożoną strategię rozwiązywania źle postawionych problemów odwrotnych sformułowanych jako wielokryterialne zadania optymalizacji globalnej. Opisana strategia umożliwia identyfikację obszarów niewrażliwości funkcji celu wokół spójnych składowych zbioru Pareto. Cel jest osiągany w dwu etapach. W pierwszym z nich — globalnym — składowe spójne zbioru Pareto są lokalizowane i separowane przy pomocy wielopopulacyjnej hierarchicznej strategii memetycznej HMS. W etapie drugim — lokalnym — przy użyciu specjalnie sprofilowanego procesu ewolucyjnego wykorzystującego operator selekcji wyborczej z wieloma zwycięzcami produkowana jest losowa próbka rozłożona jednostajnie na każdej składowej i jej bliskim otoczeniu. Finalnie każda lokalna próbka jest użyta jako baza do zbudowania lokalnej aproksymacji funkcji dominacji. Zbiory poziomicowe tej aproksymacji dla odpowiednio niskich poziomów stanowią przybliżenie zbiorów niewrażliwości wokół składowych spójnych. Możliwości strategii zostały zweryfikowane przy użyciu specjalnie zaprojektowanych dwukryterialnych funkcji testowych.

Źródło:

Computer Methods in Materials Science; 2019, 19, 1; 2-11
2720-4081
2720-3948

Pojawia się w:

Computer Methods in Materials Science

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 3.

Tytuł:

The scalarization approach for multi-objective optimization of network resource allocation in distributed systems

Autorzy:

Wesołowski, Z.

Powiązania:

https://bibliotekanauki.pl/articles/92817.pdf

Data publikacji:

2016

Wydawca:

Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach

Tematy:

distributed system
resource allocation
multi-objective optimization

Opis:

The paper presents a multi-objective optimization framework to the network resource allocation problem, where the aim is to maximize the bitrates of data generated by all agents executed in a distributed system environment. In the proposed approach, the utility functions of agents may have different forms, which allows a more realistic modeling of phenomena occurring in computer networks. A scalarizing approach has been applied to solve the optimization problem.

Źródło:

Studia Informatica : systems and information technology; 2016, 1-2(20); 39-52
1731-2264

Pojawia się w:

Studia Informatica : systems and information technology

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 4.

Tytuł:

Tuning of a Fuzzy System for Controlling Searching Process In Multi Objective Scheduling Immune Algorithm

Autorzy:

Wosik, I.
Skołud, B.

Powiązania:

https://bibliotekanauki.pl/articles/971215.pdf

Data publikacji:

2009

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

Immune Algorithm
multi objective optimization
fuzzy system

Opis:

In the paper the Multi Objective Immune Algorithm (MOIA) for an open job shop scheduling problem (OJSP) is proposed. The OJSP belongs to most both time consuming and most complicated problems in scope of searching space. In the paper schedules are evaluated by using three criteria: makespan, flowtime and total tardiness. MOIA proposes a schedule, which is best one, selected from a set of achieved solutions. An affinity threshold is a parameter that controls equilibrium between searching space and solutions diversity in MOIA. The affinity threshold is defined by using fuzzy logic system. In the paper fuzzy system is tuned by selecting shape, size of fuzzy sets, and fuzzy decisions of an affinity threshold. If the fuzzy system is used then neither the knowledge about the affinity threshold nor influence over searching processes is not required from a decision-maker. The application of the fuzzy system makes the process of decision-making user friendly. In the paper efficiency of MOIA before and after the fuzzy system tuning is compared and computational results are presented.

Źródło:

Journal of Machine Engineering; 2009, 9, 1; 130-143
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 5.

Tytuł:

Multicriterial optimization

Autorzy:

Khan, Phan Quoc

Powiązania:

https://bibliotekanauki.pl/articles/747912.pdf

Data publikacji:

1990

Wydawca:

Polskie Towarzystwo Matematyczne

Tematy:

Research exposition
Multi-objective and goal programming

Opis:

.
This work is a survey. Basic notions, a few words on the history and a classification of problems in multicriterial optimization are presented. Optimality conditions of various types are discussed in more detail.

Źródło:

Mathematica Applicanda; 1990, 18, 32
1730-2668
2299-4009

Pojawia się w:

Mathematica Applicanda

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 6.

Tytuł:

Single spiking neuron multi-objective optimization for pattern classification

Autorzy:

Juarez-Santini, Carlos
Ornelas-Rodriguez, Manuel
Soria-Alcaraz, Jorge Alberto
Rojas-Domínguez, Alfonso
Puga-Soberanes, Hector J.
Espinal, Andrés
Rostro-Gonzalez, Horacio

Powiązania:

https://bibliotekanauki.pl/articles/385022.pdf

Data publikacji:

2020

Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Tematy:

multi-objective optimization
spiking neuron
pattern classification

Opis:

As neuron models become more plausible, fewer computing units may be required to solve some problems; such as static pattern classification. Herein, this problem is solved by using a single spiking neuron with rate coding scheme. The spiking neuron is trained by a variant of Multi-objective Particle Swarm Optimization algorithm known as OMOPSO. There were carried out two kind of experiments: the first one deals with neuron trained by maximizing the inter distance of mean firing rates among classes and minimizing standard deviation of the intra firing rate of each class; the second one deals with dimension reduction of input vector besides of neuron training. The results of two kind of experiments are statistically analyzed and compared again a Mono-objective optimization version which uses a fitness function as a weighted sum of objectives.

Źródło:

Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 1; 73-80
1897-8649
2080-2145

Pojawia się w:

Journal of Automation Mobile Robotics and Intelligent Systems

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 7.

Tytuł:

New solutions to a multi-objective benchmark problem of induction heating: an application of computational biogeography and evolutionary algorithms

Autorzy:

Di Barba, P.
Dughiero, F.
Forzan, M.
Mognaschi, M. E.
Sieni, E.

Powiązania:

https://bibliotekanauki.pl/articles/140925.pdf

Data publikacji:

2018

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

induction heating
multi-physics analysis
multi-objective optimization
benchmark

Opis:

In induction heating the design of the inductor implies the solution of coupled electromagnetic and thermal fields, along with the use of optimal design procedures to identify the best possible device or process. The benchmark model proposed, a graphite disk heated by means of induction, is optimized using different optimization algorithms. The design aim requires to achieve a prescribed and uniform temperature distribution in the workpiece maximizing the system efficiency.

Źródło:

Archives of Electrical Engineering; 2018, 67, 1; 139-149
1427-4221
2300-2506

Pojawia się w:

Archives of Electrical Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 8.

Tytuł:

MOLPTOL – a software package for sensitivity analysis in MOLP

Autorzy:

Sitarz, Sebastian
Botor, Krzysztof

Powiązania:

https://bibliotekanauki.pl/articles/2027992.pdf

Data publikacji:

2021

Wydawca:

Uniwersytet Ekonomiczny w Katowicach

Tematy:

Computer software
Multi-objective linear programming
Sensitivity analysis

Opis:

The paper introduces a new software package, MOLPTOL, for sensitivity analysis in multi-objective linear programming. In this application, which is available for free of charge on the web page (https:// sites.google.com/view/molptol), the tolerance approach as a measure of sensitivity is used. The motivation for creating MOLPTOL is the lack of such tools to date. MOLPTOL is novel for multi-criteria decision-making methods based on sensitivity analysis. The paper presents some new computational methods for obtaining the supremal tolerances as well.

Źródło:

Multiple Criteria Decision Making; 2021, 16; 140-152
2084-1531

Pojawia się w:

Multiple Criteria Decision Making

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 9.

Tytuł:

Software tools in didactics of mathematics

Autorzy:

Dudzińska-Baryła, Renata
Kopańska-Bródka, Donata
Michalska, Ewa

Powiązania:

https://bibliotekanauki.pl/articles/421290.pdf

Data publikacji:

2015

Wydawca:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Tematy:

visualisations
GeoGebra
multi-objective programming
fuzzy sets
derivative

Opis:

The use of software tools in the teaching process allows us to enrich the traditional methods. Graphics and animation complement the text and create positive associations related to the presented content. Recent research shows that using the visual methods in teaching leads to better scores obtained by students. The aim of the paper is to present the dynamic visualisations of selected concepts taught in mathematics and other “quantitative” subjects at university. Our dynamic visualisations can be used during lectures to help students to better understand difficult ideas and dependencies, for example the derivate of a function, the concept of fuzzy sets and the operations on these sets as well as the concept of the best solution in multi-objective programming problems. Visualisations of these issues are prepared in GeoGebra, which combines algebra and geometry and allows for the dynamic visualisation of concepts with a mathematical background.

Źródło:

Didactics of Mathematics; 2015, 12(16); 35-46
1733-7941

Pojawia się w:

Didactics of Mathematics

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 10.

Tytuł:

Generating a set of compromise solutions of a multi objective linear programming problem through game theory

Autorzy:

Sivri, Mustafa
Kocken, Hale Gonce
Albayrak, Inci
Akin, Sema

Powiązania:

https://bibliotekanauki.pl/articles/406253.pdf

Data publikacji:

2019

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

multi-objective programming problem
game theory
compromise solution

Opis:

Most of real-life problems, including design, optimization, scheduling and control, etc., are inherently characterized by multiple conflicting objectives, and thus multi-objective linear programming (MOLP) problems are frequently encountered in the literature. One of the biggest difficulties in solving MOLP problems lies in the trade-off among objectives. Since the optimal solution of one objective may lead other objective(s) to bad results, all objectives must be optimized simultaneously. Additionally, the obtained solution will not satisfy all the objectives in the same satisfaction degree. Thus, it will be useful to generate a set of compromise solutions in order to present it to the decision maker (DM). With this motivation, after determining a modified payoff matrix for MOLP, all possible ratios are formed between all rows. These ratio matrices are considered a two person zero-sum game and solved by linear programming (LP) approach. Taking into consideration the results of the related game, the original MOLP problem is converted to a single objective LP problem. Since there exist numerous ratio matrices, a set of compromise solutions is obtained for MOLP problem. Numerical examples are used to demonstrate this approach.

Źródło:

Operations Research and Decisions; 2019, 29, 2; 77-88
2081-8858
2391-6060

Pojawia się w:

Operations Research and Decisions

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 11.

Tytuł:

Multi-operator Differential Evolution with MOEA/D for Solving Multi-objective Optimization Problems

Autorzy:

Aggarwal, Sakshi
Mishra, Krishn K.

Powiązania:

https://bibliotekanauki.pl/articles/2142322.pdf

Data publikacji:

2022

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Tematy:

erential evolution
multi-objective
mutation operator
weighted-aggregation

Opis:

In this paper, we propose a multi-operator differentia evolution variant that incorporates three diverse mutation strategies in MOEA/D. Instead of exploiting the local region, the proposed approach continues to search for optimal solutions in the entire objective space. It explicitly maintains diversity of the population by relying on the benefit of clustering. To promowe convergence, the solutions close to the ideal position, in the objective space are given preference in the evolutionary process. The core idea is to ensure diversity of the population by applying multiple mutation schemes and a faster convergence rate, giving preference to solutions based on their proximity to the ideal position in the MOEA/D paradigm. The performance of the proposed algorithm is evaluated by two popular test suites. The experimental results demonstrate that the proposed approach outperforms other MOEA/D algorithms.

Źródło:

Journal of Telecommunications and Information Technology; 2022, 3; 85--95
1509-4553
1899-8852

Pojawia się w:

Journal of Telecommunications and Information Technology

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 12.

Tytuł:

Multi-Objective Optimization of Motor Vessel Route

Autorzy:

Marie, S.
Courteille, E.

Powiązania:

https://bibliotekanauki.pl/articles/117604.pdf

Data publikacji:

2009

Wydawca:

Uniwersytet Morski w Gdyni. Wydział Nawigacyjny

Tematy:

route planning
Optimization of Vessel Route
multi-objective optimization
Motor Vessel
Optimal Route
Multi-Objective Genetic Algorithm (MOGA)
Bézier Curve
MATLAB

Opis:

This paper presents an original method that allows computation of the optimal route of a motor vessel by minimizing its fuel consumption. The proposed method is based on a new and efficient meshing procedure that is used to define a set of possible routes. A consumption prediction tool has been developed in order to estimate the fuel consumption along a given trajectory. The consumption model involves the effects of the meteorological conditions, the shape of the hull and the power train characteristics. Pareto-optimization with a Multi-Objective Genetic Algorithm (MOGA) is taken as a framework for the definition and the solution of the multi-objective optimization problem addressed. The final goal of this study is to provide a decision helping tool giving the route that minimizes the fuel consumption in a limited or optimum time.

Źródło:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2009, 3, 2; 133-141
2083-6473
2083-6481

Pojawia się w:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 13.

Tytuł:

Design optimization of compliant mechanisms for vibration assisted machining applications using a hybrid Six Sigma, RSM-FEM, and NSGA-II approach

Autorzy:

Pham, Huy-Tuan
Nguyen, Van-Khien
Dang, Quang-Khoa
Duong, Thi Van Anh
Nguyen, Duc-Thong
Phan, Thanh-Vu

Powiązania:

https://bibliotekanauki.pl/articles/24084644.pdf

Data publikacji:

2023

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

compliant mechanism
multi-objective optimisation
Six Sigma
NSGA-II

Opis:

Vibration-assisted machining, a hybrid processing method, has been gaining considerable interest recently due to its advantages, such as increasing material removal rate, enhancing surface quality, reducing cutting forces and tool wear, improving tool life, or minimizing burr formation. Special equipment must be designed to integrate the additional vibration energy into the traditional system to exploit those spectacular characteristics. This paper proposes the design of a new 2-DOF high-precision compliant positioning mechanism using an optimization process combining the response surface method, finite element method, and Six Sigma analysis into a multi-objective genetic algorithm. The TOPSIS method is also used to select the best solution from the Pareto solution set. The optimum design was fabricated to assess its performance in a vibration-assisted milling experiment concerning surface roughness criteria. The results demonstrate significant enhancement in both the manufacturing criteria of surface quality and the design approach criteria since it eliminates modelling errors associated with analytical approaches during the synthesis and analysis of compliant mechanisms.

Źródło:

Journal of Machine Engineering; 2023, 23, 2; 135--158
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 14.

Tytuł:

Fuzzy multi-objective supplier selection problem in a supply chain

Autorzy:

Kamal, Murshid
Gupta, Srikant
Raina, Ather Aziz

Powiązania:

https://bibliotekanauki.pl/articles/1177774.pdf

Data publikacji:

2018

Wydawca:

Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN

Tematy:

Fuzzy Goal Programming
Multi-objective Optimization
Supplier Selection Problem

Opis:

The decision making of supplier selection and their allocation is one of the main concerns in supply chain management. In this paper, an attempt has been made to obtain an optimal allocation for supplier based on minimizing the net cost, minimizing the net rejections, and minimizing the net late deliveries subject to realistic constraints regarding buyer’s demand, vendors’ capacity, vendors’ quota flexibility, purchase value of items, budget allocation to individual vendor, etc. We convert the problem into single objective fuzzy goal programming problem by using weighted root power mean the method of aggregation with linear, exponential and hyperbolic membership functions. The comparison has been made by assigning different weights to the objective functions. A numerical illustration is provided for the verification of applicability of the approach.

Źródło:

World Scientific News; 2018, 100; 165-183
2392-2192

Pojawia się w:

World Scientific News

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 15.

Tytuł:

Numerical application of the SPEA algorithm to reliability multi-objective optimization

Autorzy:

Guze, S.

Powiązania:

https://bibliotekanauki.pl/articles/2069179.pdf

Data publikacji:

2015

Wydawca:

Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności

Tematy:

multi-objective
optimization
reliability
0-1 knapsack problem
SPEA

Opis:

The main aim of the paper is the computer-aided multi-objective reliability optimization using the SPEA algorithm. This algorithm and the binary knapsack problem are described. Furthermore, the computer program that solves the knapsack problem with accordance to SPEA algorithm is introduced. Example of the possible application of this program to the multi-objective reliability optimization of exemplary parallel-series system is shown.

Źródło:

Journal of Polish Safety and Reliability Association; 2015, 6, 1; 101--114
2084-5316

Pojawia się w:

Journal of Polish Safety and Reliability Association

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 16.

Tytuł:

Multi-objective heuristic feature selection for speech-based multilingual emotion recognition

Autorzy:

Brester, C.
Semenkin, E.
Sidorov, M.

Powiązania:

https://bibliotekanauki.pl/articles/91588.pdf

Data publikacji:

2016

Wydawca:

Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych

Tematy:

multi-objective optimization
feature selection
speech-based emotion recognition

Opis:

If conventional feature selection methods do not show sufficient effectiveness, alternative algorithmic schemes might be used. In this paper we propose an evolutionary feature selection technique based on the two-criterion optimization model. To diminish the drawbacks of genetic algorithms, which are applied as optimizers, we design a parallel multicriteria heuristic procedure based on an island model. The performance of the proposed approach was investigated on the Speech-based Emotion Recognition Problem, which reflects one of the most essential points in the sphere of human-machine communications. A number of multilingual corpora (German, English and Japanese) were involved in the experiments. According to the results obtained, a high level of emotion recognition was achieved (up to a 12.97% relative improvement compared with the best F-score value on the full set of attributes).

Źródło:

Journal of Artificial Intelligence and Soft Computing Research; 2016, 6, 4; 243-253
2083-2567
2449-6499

Pojawia się w:

Journal of Artificial Intelligence and Soft Computing Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 17.

Tytuł:

A Survey on multi-objective based parameter optimization for deep learning

Autorzy:

Chakraborty, Mrittika
Pal, Wreetbhas
Bandyopadhyay, Sanghamitra
Maulik, Ujjwal

Powiązania:

https://bibliotekanauki.pl/articles/27312917.pdf

Data publikacji:

2023

Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Tematy:

deep learning
multi-objective optimization
parameter optimization
neural networks

Opis:

Deep learning models form one of the most powerful machine learning models for the extraction of important features. Most of the designs of deep neural models, i.e., the initialization of parameters, are still manually tuned. Hence, obtaining a model with high performance is exceedingly time-consuming and occasionally impossible. Optimizing the parameters of the deep networks, therefore, requires improved optimization algorithms with high convergence rates. The single objective-based optimization methods generally used are mostly time-consuming and do not guarantee optimum performance in all cases. Mathematical optimization problems containing multiple objective functions that must be optimized simultaneously fall under the category of multi-objective optimization sometimes referred to as Pareto optimization. Multi-objective optimization problems form one of the alternatives yet useful options for parameter optimization. However, this domain is a bit less explored. In this survey, we focus on exploring the effectiveness of multi-objective optimization strategies for parameter optimization in conjunction with deep neural networks. The case studies used in this study focus on how the two methods are combined to provide valuable insights into the generation of predictions and analysis in multiple applications.

Źródło:

Computer Science; 2023, 24 (3); 327--359
1508-2806
2300-7036

Pojawia się w:

Computer Science

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 18.

Tytuł:

Multi-objective optimization of vehicle routing problem using evolutionary algorithm with memory

Autorzy:

Podlaski, K.
Wiatrowski, G.

Powiązania:

https://bibliotekanauki.pl/articles/305266.pdf

Data publikacji:

2017

Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Tematy:

vehicle routing problem
time windows
evolutionary algorithms
multi-objective optimization

Opis:

The idea of a new evolutionary algorithm with memory aspect included is proposed to find multiobjective optimized solution of vehicle routing problem with time windows. This algorithm uses population of agents that individually search for optimal solutions. The agent memory incorporates the process of learning from the experience of each individual agent as well as from the experience of the population. This algorithm uses crossover operation to define agents evolution. In the paper we choose as a base the Best Cost Route Crossover (BCRC) operator. This operator is well suited for VPRTW problems. However it does not treat both of parent symmetrically what is not natural for general evolutionary processes. The part of the paper is devoted to find an extension of the BCRC operator in order to improve inheritance of chromosomes from both of parents. Thus, the proposed evolutionary algorithm is implemented with use of two crossover operators: BCRC and its extended-modified version. We analyze the results obtained from both versions applied to Solomon’s and Gehring & Homberger instances. We conclude that the proposed method with modified version of BCRC operator gives statistically better results than those obtained using original BCRC. It seems that evolutionary algorithm with memory and modification of Best Cost Route Crossover Operator lead to very promising results when compared to the ones presented in the literature.

Źródło:

Computer Science; 2017, 18 (3); 269-286
1508-2806
2300-7036

Pojawia się w:

Computer Science

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 19.

Tytuł:

Information management in passenger traffic supporting system design as a multi-criteria discrete optimization task

Autorzy:

Galuszka, A.
Krystek, J.
Swierniak, A.
Lungoci, C.
Grzejszczak, T.

Powiązania:

https://bibliotekanauki.pl/articles/229171.pdf

Data publikacji:

2017

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

multi objective optimization
discrete static optimization
Pareto solutions
integrated systems

Opis:

This paper presents a concept of an Integrated System of Supporting Information Management in Passenger Traffic (ISSIMPT). The novelty of the system is an integration of six modules: video monitoring, counting passenger flows, dynamic information for passengers, the central processing unit, surveillance center and vehicle diagnostics into one coherent solution. Basing on expert evaluations, we propose to present configuration design problem of the system as a multi-objectives discrete static optimization problem. Then, hybrid method joining properties of weighted sum and ε-constraint methods is applied to solve the problem. Solution selections based on hybrid method, using set of exemplary cases, are shown.

Źródło:

Archives of Control Sciences; 2017, 27, 2; 229-238
1230-2384

Pojawia się w:

Archives of Control Sciences

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 20.

Tytuł:

FACTS location and size for reactive power system compensation through the multi-objective optimization

Autorzy:

Belazzoug, M.
Boudour, M.
Sebaa, K.

Powiązania:

https://bibliotekanauki.pl/articles/229744.pdf

Data publikacji:

2010

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

reactive dispatch
multi-objective optimization
NSGA-II
SVC
TCSC
FACTS

Opis:

The problem of the FACTS (Flexible Alternative Current Transmission System Devices) location and size for reactive power system compensation through the multi-objective optimization is presented in this paper. A new technique is proposed for the optimal setting, dimension and design of two kinds of FACTS namely: Static Volt Ampere reactive (VAR) Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) handling the minimization of transmission losses in electrical network. Using the proposed scheme, the type, the location and the rating of FACTS devices are optimized simultaneously. The problem to solve is multi criteria under constraints related to the load flow equations, the voltages, the transformer turn ratios, the active and reactive productions and the compensation devices. Its solution requires the the advanced algorithms to be applied. Thus, we propose an approach based on the evolutionary algorithms (EA) to solve multi-criterion problem. It is similar to the NSGA-II method (Ellitist Non Dominated Sorting Genetic Algorithm). The Pareto front is obtained for continuous, discrete and multiple of five MVArs (Mega Volt Ampere reactive) of compensator devices for the IEEE 57-bus test system (IEEE bus test is a standard network).

Źródło:

Archives of Control Sciences; 2010, 20, 4; 473-489
1230-2384

Pojawia się w:

Archives of Control Sciences

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 21.

Tytuł:

A hybridization of machine learning and NSGA-II for multi-objective optimization of surface roughness and cutting force in AISI 4340 alloy steel turning

Autorzy:

Nguyen, Anh-Tu
Nguyen, Van-Hai
Le, Tien-Thinh
Nguyen, Nhu-Tung

Powiązania:

https://bibliotekanauki.pl/articles/2200263.pdf

Data publikacji:

2023

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

multi-objective optimisation
machine learning
AISI 4340
NSGA-II
ANN

Opis:

This work focuses on optimizing process parameters in turning AISI 4340 alloy steel. A hybridization of Machine Learning (ML) algorithms and a Non-Dominated Sorting Genetic Algorithm (NSGA-II) is applied to find the Pareto solution. The objective functions are a simultaneous minimum of average surface roughness (Ra) and cutting force under the cutting parameter constraints of cutting speed, feed rate, depth of cut, and tool nose radius in a range of 50–375 m/min, 0.02–0.25 mm/rev, 0.1–1.5 mm, and 0.4–0.8 mm, respectively. The present study uses five ML models – namely SVR, CAT, RFR, GBR, and ANN – to predict Ra and cutting force. Results indicate that ANN offers the best predictive performance in respect of all accuracy metrics: root-mean-squared-error (RMSE), mean-absolute-error (MAE), and coefficient of determination (R2). In addition, a hybridization of NSGA-II and ANN is implemented to find the optimal solutions for machining parameters, which lie on the Pareto front. The results of this multi-objective optimization indicate that Ra lies in a range between 1.032 and 1.048 μm, and cutting force was found to range between 7.981 and 8.277 kgf for the five selected Pareto solutions. In the set of non-dominated keys, none of the individual solutions is superior to any of the others, so it is the manufacturer's decision which dataset to select. Results summarize the value range in the Pareto solutions generated by NSGA-II: cutting speeds between 72.92 and 75.11 m/min, a feed rate of 0.02 mm/rev, a depth of cut between 0.62 and 0.79 mm, and a tool nose radius of 0.4 mm, are recommended. Following that, experimental validations were finally conducted to verify the optimization procedure.

Źródło:

Journal of Machine Engineering; 2023, 23, 1; 133--153
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 22.

Tytuł:

A novel multi-objective discrete particle swarm optimization with elitist perturbation for reconfiguration of ship power system

Autorzy:

Zhang, L.
Sun, J.
Guo, C.

Powiązania:

https://bibliotekanauki.pl/articles/260215.pdf

Data publikacji:

2017

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

shipboard power system
reconfiguration
multi-objective
discrete PSO
elitist perturbation

Opis:

A novel multi-objective discrete particle swarm optimization with elitist perturbation strategy (EPSMODPSO) is proposed and applied to solve the reconfiguration problem of shipboard power system(SPS). The new algorithm uses the velocity to decide each particle to move one step toward positive or negative direction to update the position. An elitist perturbation strategy is proposed to improve the local search ability of the algorithm. Reconfiguration model of SPS is established with multiple objectives, and an inherent homogeneity index is adopted as the auxiliary estimating index. Test results of examples show that the proposed EPSMODPSO performs excellent in terms of diversity and convergence of the obtained Pareto optimal front. It is competent to solve network reconfiguration of shipboard power system and other multi-objective discrete optimization problems.

Źródło:

Polish Maritime Research; 2017, S 3; 79-85
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 23.

Tytuł:

Bi-objective routing in a dynamic network: An application to maritime logistics

Autorzy:

Maskooki, Alaleh
Nikulin, Yury

Powiązania:

https://bibliotekanauki.pl/articles/2050033.pdf

Data publikacji:

2020

Wydawca:

Polska Akademia Nauk. Instytut Badań Systemowych PAN

Tematy:

travelling salesman
time dependent network
multi-objective optimization
integer programming

Opis:

A bi-objectiveMILP model for optimal routing in a dynamic network with moving targets (nodes) is developed, where all targets are not necessarily visited. Hence, our problem extends the moving target travelling salesman problem. The two objectives aim at finding the sequence of targets visited in a given time horizon by minimizing the total travel distance and maximizing the number of targets visited. Due to a huge number of binary variables, such a problem often becomes intractable in the real life cases. To reduce the computational burden, we introduce a measure of traffic density, based on which we propose a time horizon splitting heuristics. In a real-world case study of greenhouse gas emissions control, using Automatic Identification System data related to the locations of ships navigating in the Gulf of Finland, we evaluate the performance of the proposed method. Different splitting scenarios are analysed numerically. Even in the cases of a moderate scale, the results show that near-efficient values for the two objectives can be obtained by our splitting approach with a drastic decrease in computational time compared to the exact MILP method. A linear value function is introduced to compare the Pareto solutions obtained by different splitting scenarios. Given our results, we expect that the present study is valuable in logistic applications, specifically maritime management services and autonomous navigation.

Źródło:

Control and Cybernetics; 2020, 49, 2; 211--232
0324-8569

Pojawia się w:

Control and Cybernetics

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 24.

Tytuł:

Load Balancing Based on Optimization Algorithms: An Overview

Autorzy:

Mbarek, Fatma
Mosorov, Volodymyr

Powiązania:

https://bibliotekanauki.pl/articles/308122.pdf

Data publikacji:

2019

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Tematy:

ant colony optimization
honey bee
load balancing
multi-objective optimization

Opis:

Combinatorial optimization challenges are rooted in real-life problems, continuous optimization problems, discrete optimization problems and other significant problems in telecommunications which include, for example, routing, design of communication networks and load balancing. Load balancing applies to distributed systems and is used for managing web clusters. It allows to forward the load between web servers, using several scheduling algorithms. The main motivation for the study is the fact that combinatorial optimization problems can be solved by applying optimization algorithms. These algorithms include ant colony optimization (ACO), honey bee (HB) and multi-objective optimization (MOO). ACO and HB algorithms are inspired by the foraging behavior of ants and bees which use the process to locate and gather food. However, these two algorithms have been suggested to handle optimization problems with a single-objective. In this context, ACO and HB have to be adjusted to multiobjective optimization problems. This paper provides a summary of the surveyed optimization algorithms and discusses the adaptations of these three algorithms. This is pursued by a detailed analysis and a comparison of three major scheduling techniques mentioned above, as well as three other, new algorithms (resulting from the combination of the aforementioned techniques) used to efficiently handle load balancing issues.

Źródło:

Journal of Telecommunications and Information Technology; 2019, 4; 3-12
1509-4553
1899-8852

Pojawia się w:

Journal of Telecommunications and Information Technology

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 25.

Tytuł:

The Effect of Different Decision-Making Methods on Multi-Objective Optimisation of Predictive Torque Control Strategy

Autorzy:

Gurel, Aycan
Zerdali, Emrah

Powiązania:

https://bibliotekanauki.pl/articles/1956004.pdf

Data publikacji:

2021

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

predictive torque control
induction motor
multi-objective optimisation
decision-making method

Opis:

Today, a clear trend in electrification process has emerged in all areas to cope with carbon emissions. For this purpose, the widespread use of electric cars and wind energy conversion systems has increased the attention and importance of electric machines. To overcome limitations in mature control techniques, model predictive control (MPC) strategies have been proposed. Of these strategies, predictive torque control (PTC) has been well accepted in the control of electric machines. However, it suffers from the selection of weighting factors in the cost function. In this paper, the weighting factor associated with the flux error term is optimised by the non-dominated sorting genetic algorithm (NSGA-II) algorithm through torque and flux errors. The NSGA-II algorithm generates a set of optimal solutions called Pareto front solutions, and a possible solution must be selected from among the Pareto front solutions for use in the PTC strategy. Unlike the current literature, three decision-making methods are applied to the Pareto front solutions and the weighting factors selected by each method are tested under different operating conditions in terms of torque ripples, flux ripples, cur-rent harmonics and average switching frequencies. Finally, a decision-making method is recommended.

Źródło:

Power Electronics and Drives; 2021, 6, 41; 289-300
2451-0262
2543-4292

Pojawia się w:

Power Electronics and Drives

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 26.

Tytuł:

Evolutionary multi–objective weather routing of sailboats

Autorzy:

Sobecka, Ewa
Szłapczyński, Rafał
Życzkowski, Marcin

Powiązania:

https://bibliotekanauki.pl/articles/1585076.pdf

Data publikacji:

2020

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

sailing vessels
weather routing
evolutionary multi-objective optimization
weather forecasts
navigation

Opis:

The paper presents a multi-objective method, which optimises the route of a sailboat. The presented method makes use of an evolutionary multi-objective (EMO) algorithm, which performs the optimisation according to three objective functions: total passage time, a sum of all course alterations made during the voyage and the average angle of heel. The last two of the objective functions reflect the navigator’s and passenger’s comfort, which may decrease with multiple turns or when experiencing an excessive heel angle for a long time. The optimisation process takes into account static bathymetry-related constraints as well as dynamic constraints related to the sailboat’s safety in changing wind and wave conditions. The method makes use of all of the above and finally returns an approximated Pareto set containing non-dominated solutions to the optimisation problem. The developed method has been implemented as a simulation application. The paper includes selected simulation results followed by their discussion.

Źródło:

Polish Maritime Research; 2020, 3; 130-139
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 27.

Tytuł:

Necessary optimality conditions for a set valued fractional programming problem in terms of contingent epiderivatives

Autorzy:

Gadhi, A. N.
Idrissi, M. El.

Powiązania:

https://bibliotekanauki.pl/articles/205692.pdf

Data publikacji:

2018

Wydawca:

Polska Akademia Nauk. Instytut Badań Systemowych PAN

Tematy:

fractional optimization
multi-objective optimization
cone-convex mapping
optimality conditions
subdifferential

Opis:

In this paper, we are concerned with a multi-objective fractional extremal programming problem. Using the concept of subdifferential of cone-convex set valued mappings, introduced by Baier and Jahn (1999), together with the convex separation principle, we give necessary optimality conditions. An example illustrating the usefulness of our results is also provided.

Źródło:

Control and Cybernetics; 2018, 47, 2; 147-156
0324-8569

Pojawia się w:

Control and Cybernetics

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 28.

Tytuł:

Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm. Part II. Computational simulations

Autorzy:

Sekulski, Z.

Powiązania:

https://bibliotekanauki.pl/articles/260598.pdf

Data publikacji:

2011

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

ship structure
multi-objective optimization
evolutionary algorithm
genetic algorithm
Pareto domination

Opis:

Real ship structural design problems are usually characterized by presence of many conflicting objectives. Simultaneously, a complete definition of the optimum structural design requires a formulation of size-topology-shape-material optimization task unifying the optimization problems of the four areas and giving an effective solution of the problem. So far, a significant progress towards the solution of the problem has not been obtained. An objective of the present paper was to develop an evolutionary algorithm for multiobjective optimization of structural elements of large spatial sections of ships. Selected elements of the multi-criteria optimization theory have been presented in detail. Methods for solution of the multi-criteria optimization problems have been discussed with the focus on the evolutionary optimization algorithms. In the paper an evolutionary algorithm where selection takes place based on the aggregated objective function combined with domination attributes as well as distance to the asymptotic solution, is proposed and applied to solve the problem of optimizing structural elements with respect to their weight and surface area on a high speed vehicle-passenger catamaran structure, with several design variables, such as plate thickness, scantlings of longitudinal stiffeners and transverse frames, and spacing between longitudinal and transversal members, taken into account. Details of the computational models were at the level typical for conceptual design. Scantlings were analyzed by using selected rules of a classification society. The results of numerical experiments with the use of the developed algorithm, are presented. They show that the proposed genetic algorithm can be an efficient tool for multi-objective optimization of ship structures. The paper is published in three parts: Part I: Theoretical background on evolutionary multi-objective optimization, Part II: Computational investigations, and Part III: Analysis of the results.

Źródło:

Polish Maritime Research; 2011, 3; 3-30
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 29.

Tytuł:

The airport gate assignment problem – multi-objective optimization versus evolutionary multi-objective optimization

Autorzy:

Kaliszewski, I.
Miroforidis, J.
Stańczak, J.

Powiązania:

https://bibliotekanauki.pl/articles/305661.pdf

Data publikacji:

2017

Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Tematy:

airport gate assignment problem
Evolutionary Multi-objective Optimization
mixed-integer programming

Opis:

In this paper, we approach the Airport Gate Assignment Problem by Multi-objective Optimization as well as Evolutionary Multi-objective Optimization. We solve a bi-criteria formulation of this problem by the commercial mixed-integer programming solver CPLEX and a dedicated Evolutionary Multi-objective Optimization algorithm. To deal with multiple objectives, we apply a methodology that we developed earlier to capture decision-maker preferences in multi-objective environments. We present the results of numerical tests for these two approaches.

Źródło:

Computer Science; 2017, 18 (1); 41-52
1508-2806
2300-7036

Pojawia się w:

Computer Science

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 30.

Tytuł:

Verified methods for computing Pareto sets: General algorithmic analysis

Autorzy:

G.-Tóth, B.
Kreinovich, V.

Powiązania:

https://bibliotekanauki.pl/articles/930124.pdf

Data publikacji:

2009

Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Tematy:

optymalizacja wielocelowa
zbiór Pareto
multi-objective optimisation
Pareto set
verified computing

Opis:

In many engineering problems, we face multi-objective optimization, with several objective functions f1, . . . , fn. We want to provide the user with the Pareto set-a set of all possible solutions x which cannot be improved in all categories (i.e., for which fj (x') fj (x) for all j and fj(x') > fj(x) for some j is impossible). The user should be able to select an appropriate trade-off between, say, cost and durability. We extend the general results about (verified) algorithmic computability of maxima locations to show that Pareto sets can also be computed.

Źródło:

International Journal of Applied Mathematics and Computer Science; 2009, 19, 3; 369-380
1641-876X
2083-8492

Pojawia się w:

International Journal of Applied Mathematics and Computer Science

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 31.

Tytuł:

On a multi-objective optimization problem arising from production theory

Autorzy:

Roman, Maria
Wieczorek, Andrzej

Powiązania:

https://bibliotekanauki.pl/articles/1338896.pdf

Data publikacji:

1999

Wydawca:

Polska Akademia Nauk. Instytut Matematyczny PAN

Tematy:

multi-objective optimization
(weakly) efficient solution
household production
(weak) Pareto optimality

Opis:

The paper presents a natural application of multi-objective programming to household production and consumption theory. A contribution to multi-objective programming theory is also included.

Źródło:

Applicationes Mathematicae; 1998-1999, 25, 4; 411-415
1233-7234

Pojawia się w:

Applicationes Mathematicae

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 32.

Tytuł:

A new multi-objective optimization algorithm based on differential evolution and neighborhood exploring evolution strategy

Autorzy:

Lobato, F. S.
Steffen, Jr, V.

Powiązania:

https://bibliotekanauki.pl/articles/91590.pdf

Data publikacji:

2011

Wydawca:

Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych

Tematy:

multi-objective optimization
differential evolution
neighborhood exploring
evolution strategy
sorting strategy

Opis:

In this paper a new optimization algorithm based on Differential Evolution, non-dominated sorting strategy and neighborhood exploration strategy for guaranteeing convergence and diversity through the generation of neighborhoods of different sizes to potential candidates in the population is presented. The performance of the algorithm proposed is validated by using standard test functions and metrics commonly adopted in the specialized literature. The sensitivity analysis of some relevant parameters of the algorithm is performed and compared with the classical DE algorithm without the strategy of neighborhood exploration and with other state-of-the-art evolutionary algorithms.

Źródło:

Journal of Artificial Intelligence and Soft Computing Research; 2011, 1, 4; 259-267
2083-2567
2449-6499

Pojawia się w:

Journal of Artificial Intelligence and Soft Computing Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 33.

Tytuł:

A New Mathematical Model for Multisession Exams-Building Assignment

Autorzy:

Ergul, Z.
Kamisli Ozturk, Z.

Powiązania:

https://bibliotekanauki.pl/articles/1031701.pdf

Data publikacji:

2017-09

Wydawca:

Polska Akademia Nauk. Instytut Fizyki PAN

Tematy:

Educational timetabling
Examination-building assignment
Multi objective nonlinear optimization
Mixed Integer Programming

Opis:

The educational timetabling problem has been extensively investigated in timetabling literature. However, the problem of assigning exams to examination buildings has not been studied intensively by researchers. We were inspired by Open and Distance Education System exams of Anadolu University. Anadolu University Open and Distance Education System, which is used by approximately two millions of students and has more than two millions of graduates, is a well-known institution in Turkey. In this study, we propose a multi-objective mathematical model for multisession exam-building assignment problem. Objective functions of this model are to minimize the distance between consecutive session buildings for a given student, to maximize the number of occupants of buildings in every session and to minimize the variety of booklets for building in every session. Mathematical model has been found inadequate because students-examination building assignment in the Anadolu University Open Education system is a large size real life problem. Starting from this point of view, an order-based multi-objective heuristic algorithm is developed to solve this problem. The solutions obtained by the proposed algorithm are compared with the solution obtained by the mathematical modelling and the current state of the existing system.

Źródło:

Acta Physica Polonica A; 2017, 132, 3; 1207-1210
0587-4246
1898-794X

Pojawia się w:

Acta Physica Polonica A

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 34.

Tytuł:

Multi-objective optimisation of the electric wheelchair ride comfort and road holding based on jourdain’s principle model and genetic algorithm

Autorzy:

Belhorma, Mohamed
Bouchikhi, Aboubakar Seddik

Powiązania:

https://bibliotekanauki.pl/articles/2106225.pdf

Data publikacji:

2022

Wydawca:

Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej

Tematy:

multibody systems
Jourdain’s principle
electric wheelchair
multi-objective optimisation
genetic algorithm

Opis:

The paper addresses the multi-body modelling of an electric wheelchair using Jourdain’s principle. First, a description of the adopted approach was presented. Next, the mathematical equations were developed to obtain the dynamic behaviour of the concerned system. The numerical computation was performed with MATLAB (matrix laboratory: a high performance language of technical computing) and validated by MBD (Multi-Body Dynamics) for Ansys, a professional multi-body dynamics simulation software powered by RecurDyn. Afterwards, the model was treated as an objective function included in genetic algorithm. The goal was to improve the ride quality and the road holding as well as the suspension workspace. The multi-objective optimisation aimed to reduce the Root-Mean-Square (RMS) of the seat’s vertical acceleration, the wheels load and the workspace modulus by varying the bodies’ masses, the spring-damper coefficients and the characteristics of the tires. Acceptable solutions were captured on the Pareto fronts, in contrast to the relatively considerable processing time involved in the use of a random road profile generated by the power spectral density (PSD). During the process, the compatibility and the efficiency of Jourdain’s equations were inspected.

Źródło:

Acta Mechanica et Automatica; 2022, 16, 1; 58--69
1898-4088
2300-5319

Pojawia się w:

Acta Mechanica et Automatica

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 35.

Tytuł:

Milk runs model with overtime: application to cluster supply chain

Autorzy:

Tomczak, M.
Bucoń, R.

Powiązania:

https://bibliotekanauki.pl/articles/390975.pdf

Data publikacji:

2015

Wydawca:

Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej

Tematy:

cluster supply chain
mathematical programming
multi-objective optimization
small and medium enterprises

Opis:

Paper identifies obstacles limiting functioning and development of small and medium construction enterprises. It also includes a description of cluster supply chain (CSC) idea as a suggested solution to some of the problems resulting from the small scale of company activities. One of more important issues of every distribution centre, i.e. portions of deliveries smaller than truck capacity for particular consumers, is also discussed. This problem was formulated for the first time in dairy industry, therefore, it was called milk runs. Moreover, the authors of this paper presented the outcome analysis of survey carried out among construction engineers and managers. This study aimed at determining organizational principles for logistic centre working with CSC framework. The mathematical model depicting milk runs deliveries with overtime consideration, done for many construction sites within a distribution centre is presented hereunder. This model may be potentially used to optimize distribution centres working within cluster supply chain framework.

Źródło:

Budownictwo i Architektura; 2015, 14, 4; 139-147
1899-0665

Pojawia się w:

Budownictwo i Architektura

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 36.

Tytuł:

Modelling of surface roughness and tool wear when finish milling process of the circular bevel gear

Autorzy:

Pham, Van Dong
Hoang, Xuan Thinh

Powiązania:

https://bibliotekanauki.pl/articles/2200262.pdf

Data publikacji:

2023

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

circular bevel gear
surface roughness model
tool wear model
multi-objective optimisation

Opis:

An experimental process to build the models of surface roughness and tool wear in the finish milling of the Gleason circular bevel gears was carried out in this study. The experiments were conducted according to a Box-Behnken matrix. Three cutting parameters were adjusted in each experiment including cutting speed, feed rate, and depth of cut. From the experimental results, the influences of cutting parameters on the surface roughness and tool wear were analysed in detail. Two models of surface roughness and tool wear were established with high accuracy. The optimal values of the cutting parameters were also determined to simultaneously ensure the minimum values of two output parameters. The further research directions were also suggested at the end of this study.

Źródło:

Journal of Machine Engineering; 2023, 23, 1; 154--169
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 37.

Tytuł:

Shape optimization of the muffler shield with regard to strength properties

Autorzy:

Jarosz, Joachim
Długosz, Adam

Powiązania:

https://bibliotekanauki.pl/articles/38903721.pdf

Data publikacji:

2023

Wydawca:

Instytut Podstawowych Problemów Techniki PAN

Tematy:

muffler shield
evolutionary algorithms
multi-objective optimization
finite element method
optimal design

Opis:

This paper is devoted to the shape optimization of the muffler shield with regard to strength properties. Three different optimization criteria are defined and numerically implemented concerning the strength properties of the shield, and different variants of optimization tasks are solved using both built-in optimization modules and in-house external algorithms. The effectiveness and efficiency of the optimization methods used are compared and presented.

Źródło:

Engineering Transactions; 2023, 71, 3; 351-366
0867-888X

Pojawia się w:

Engineering Transactions

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 38.

Tytuł:

Multi-objective genetic algorithms for the reliability analysis and optimization of electrical transmission networks

Autorzy:

Cadini, F.
Zio, E.
Golea, L. R.
Petrescu, C. A.

Powiązania:

https://bibliotekanauki.pl/articles/2069695.pdf

Data publikacji:

2009

Wydawca:

Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności

Tematy:

multi-objective genetic algorithms
critical infrastructures
reliability efficiency
group closeness centrality measure

Opis:

The results of two applications of multi-objective genetic algorithms to the analysis and optimization of electrical transmission networks are reported to show the potential of these combinational optimization schemes in the treatment of highly interconnected, complex systems. In a first case study, an analysis of the topological structure of an electrical power transmission system of literature is carried out to identify the most important groups of elements of different sizes in the network. The importance is quantified in terms of group closeness centrality. In the second case study, an optimization method is developed for identifying strategies of expansion of an electrical transmission network by addition of new lines of connection. The objective is that of improving the transmission reliability, while maintaining the investment cost limited.

Źródło:

Journal of Polish Safety and Reliability Association; 2009, 1; 87--94
2084-5316

Pojawia się w:

Journal of Polish Safety and Reliability Association

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 39.

Tytuł:

Support vector regression tree model for the embankment breaching analysis based on the Chamoli tragedy in Uttarakhand

Autorzy:

Sitender
Verma, Deepak Kumar
Setia, Baldev

Powiązania:

https://bibliotekanauki.pl/articles/36073899.pdf

Data publikacji:

2024

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie

Tematy:

embankment breaching
multi-objective data
catastrophic collapses
rock-ice avalanche
Chamoli tragedy

Opis:

This study used the analysis to provide considerable support of historical distortion in the Himalayan Chamoli tragedy of 2021. According to multi-objective data and survey results, a precursor event occurred in 2016, and a linear fracture grew at joint planes, suggesting that the 2021 rock ice avalanche will fail retrogressively. To analyze breaching, this study considers seven distinct criteria such as slope, water pressure, and faulty drainage, hydrostatic stress, agricultural operations, cloudbursts, and road building. Based on these characteristics, the support vector regression (SVR) model is utilized to analyze the sensitivity of the link between these parameters. The application of support vector regression analysis on the Chamoli instance confirmed our conclusion that embankment breaching causes glacier retreat and other consequences in increasing sensitivity to the characteristics of fractured rock masses in tectonically active mountain belts. Recent advances in environmental monitoring and geological monitoring systems can be used with the proposed SVR model to provide further information on the location and time of the impending catastrophic collapses in high hill regions.

Źródło:

Scientific Review Engineering and Environmental Sciences; 2024, 33, 1; 95-111
1732-9353

Pojawia się w:

Scientific Review Engineering and Environmental Sciences

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 40.

Tytuł:

Genetic algorithm as a tool for multi-objective optimization of permanent magnet disc motor

Autorzy:

Cvetkovski, G.
Petkovska, L.

Powiązania:

https://bibliotekanauki.pl/articles/141012.pdf

Data publikacji:

2016

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

design optimisation
electric vehicle
genetic algorithm
multi-objective optimisation
permanent magnet disc motor

Opis:

The analysed permanent magnet disc motor (PMDM) is used for direct wheel drive in an electric vehicle. Therefore there are several objectives that could be tackled in the design procedure, such as an increased efficiency, reduced iron weight, reduced copper weight or reduced weight of the permanent magnets (reduced rotor weight). In this paper the optimal design of PMDM using a multi-objective genetic algorithm optimisation procedure is performed. A comparative analysis of the optimal motor solution and its parameters in relation to the prototype is presented.

Źródło:

Archives of Electrical Engineering; 2016, 65, 2; 285-294
1427-4221
2300-2506

Pojawia się w:

Archives of Electrical Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 41.

Tytuł:

Optimising rig design for sailing yachts with Evolutionary Multi-objective Algorithm

Autorzy:

Pawłusik, Mikołaj
Szłapczyński, Rafał
Karczewski, Artur

Powiązania:

https://bibliotekanauki.pl/articles/1573832.pdf

Data publikacji:

2020

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

sailing yacht rig optimization
Bermuda sloop
Multi-Objective Evolutionary Algorithms (MOEA)
Multi Criteria Decision Making (MCDM)

Opis:

The paper presents a framework for optimising a sailing yacht rig using Multi-objective Evolutionary Algorithms and for filtering obtained solutions by means of a Multi-criteria Decision Making method. A Bermuda sloop with discontinuous rig is taken under consideration as a model rig configuration. It has been decomposed into its elements and described by a set of control parameters to form a responsive model which can be used for optimisation purposes. Considering the contradictory nature of real optimisation objectives, a multi-objective approach has been chosen to address this issue. Once the optimisation process is over, a Multi-criteria Decision Making method based on a w-dominance relation is applied for filtering out the most interesting solutions from the obtained Pareto set. The proposed method has been implemented, and selected results are provided and discussed.

Źródło:

Polish Maritime Research; 2020, 4; 36-49
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 42.

Tytuł:

Multi-objective optimal reactive power dispatch to maximize power system social welfare in the presence of generalized unified power flow controller

Autorzy:

Suresh, C. V.
Sivanguraju, S.

Powiązania:

https://bibliotekanauki.pl/articles/141441.pdf

Data publikacji:

2015

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

generalized unified power flow controller
optimal reactive power dispatch
social welfare
multi-objective optimization

Opis:

In this paper a novel non-linear optimization problem is formulated to maximize the social welfare in restructured environment with generalized unified power flow controller (GUPFC). This paper presents a methodology to optimally allocate the reactive power by minimizing voltage deviation at load buses and total transmission power losses so as to maximize the social welfare. The conventional active power generation cost function is modified by combining costs of reactive power generated by the generators, shunt capacitors and total power losses to it. The formulated objectives are optimized individually and simultaneously as multi-objective optimization problem, while satisfying equality, in-equality, practical and device operational constraints. A new optimization method, based on two stage initialization and random distribution processes is proposed to test the effectiveness of the proposed approach on IEEE-30 bus system, and the detailed analysis is carried out.

Źródło:

Archives of Electrical Engineering; 2015, 64, 3; 405-426
1427-4221
2300-2506

Pojawia się w:

Archives of Electrical Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 43.

Tytuł:

Design of Pareto-Optimal Radar Receive Filters

Autorzy:

De Maio, A.
Piezzo, M.
Iommelli, S.
Farina, A.

Powiązania:

https://bibliotekanauki.pl/articles/227067.pdf

Data publikacji:

2011

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

radar receive filter design
mismatched filte
design
multi-objective optimization problem
Pareto-optimal points

Opis:

This paper deals with the design of radar receive filters jointly optimized with respect to sidelobe energy and sidelobe peaks via Pareto-optimal theory. We prove that this criterion is tantamount to jointly minimizing two quadratic forms, so that the design can be analytically formulated in terms of a multi-objective optimization problem. In order to solve it, we resort to the scalarization technique, which reduces the vectorial problem into a scalar one using a Pareto weight defining the relative importance of the two objective functions. At the analysis stage, we assess the performance of the receive filters in correspondence of different values of the Pareto weight highlighting the performance compromises between the Integrated Sidelobe Level (ISL) and the Peak Sidelobe Level (PSL).

Źródło:

International Journal of Electronics and Telecommunications; 2011, 57, 4; 477-481
2300-1933

Pojawia się w:

International Journal of Electronics and Telecommunications

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 44.

Tytuł:

Optymalizacja systemów elektroenergetycznych z zastosowaniem obliczeń ewolucyjnych
Optimization of electrical energetic systems with the use of evolutionary computations

Autorzy:

Gajer, M.

Powiązania:

https://bibliotekanauki.pl/articles/276458.pdf

Data publikacji:

2013

Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Tematy:

systemy elektroenergetyczne
optymalizacja wielokryterialna
obliczenia ewolucyjne
electrical energetic systems
multi-objective optimization
evolutionary computations

Opis:

Tematyka artykułu dotyczy zagadnień związanych z optymalizacją pracy urządzeń wchodzących w skład systemu elektroenergetycznego. W artykule optymalizacja sposobu pracy urządzeń systemu elektroenergetycznego została potraktowana jako optymalizacja wielokryterialna. Głównymi kryteriami branymi pod uwagę podczas poszukiwania rozwiązania są przede wszystkim koszt produkcji energii elektrycznej w rozpatrywanym horyzoncie czasowym oraz całkowita moc termicznych strat przesyłowych powstających w liniach wysokich napięć. Ponadto moc w systemie elektroenergetycznym powinna być zbilansowana, co stanowi kolejne kryterium oceny jakości uzyskiwanych rozwiązań. W celu rozwiązania rozpatrywanego w artykule zagadnienia optymalizacyjnego zaproponowano wykorzystanie techniki obliczeń ewolucyjnych.
The topic of the paper is about the optimization of the mode of work of electrical energetic systems. This kind of optimization is considered as multi-objective optimization. The main criteria that are taken under account are the amount of fuel burnt in energetic blocks in the time unit and total thermal losses in power transmission lines. In the paper in order to solve such multi-objective optimization problem the computational technique base on the use of evolutionary algorithms was implemented.

Źródło:

Pomiary Automatyka Robotyka; 2013, 17, 2; 345-350
1427-9126

Pojawia się w:

Pomiary Automatyka Robotyka

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 45.

Tytuł:

Multi-objective approach for production line equipment selection

Autorzy:

Chehade, H.
Dolgui, A.
Dugardin, F.
Makdessian, L.
Yalaoui, F.

Powiązania:

https://bibliotekanauki.pl/articles/407262.pdf

Data publikacji:

2012

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

linia produkcyjna
projektowanie
optymalizacja
production line design
line balancing
equipment selection
multi-objective optimization

Opis:

A novel problem dealing with design of reconfigurable automated machining lines is considered. Such lines are composed of workstations disposed sequentially. Each workstation needs the most suitable equipment. Each available piece of equipment is characterized by its cost, can perform a set of operations and requires skills of a given level for its maintenance. A multiobjective approach is proposed to assign tasks, choose and allocate pieces of equipment to workstations taking into account all the problem parameters and constraints. The techniques developed are based on a genetic algorithm of type NSGA-II. The NSGA-II suggested is also combined with a local search. These two genetic algorithms (with and without local search) are tested for several line examples and for two versions of the considered problem: bi-objective and four-objective cases. The results of numerical tests are reported. What is the most interesting is that the assessment of these algorithms is accomplished by using three measuring criteria: the direct measures of gaps, the measures proposed by Zitzler and Thiele in 1999 and the distances suggested by Riise in 2002.

Źródło:

Management and Production Engineering Review; 2012, 3, 1; 4-17
2080-8208
2082-1344

Pojawia się w:

Management and Production Engineering Review

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 46.

Tytuł:

The MOORA method and its application to privatization in a transition economy

Autorzy:

Brauers, W. K.
Zavadskas, E. K.

Powiązania:

https://bibliotekanauki.pl/articles/969961.pdf

Data publikacji:

2006

Wydawca:

Polska Akademia Nauk. Instytut Badań Systemowych PAN

Tematy:

multi-objective optimization
alternative measurement
discrete alternatives
ratio analysis
sub-objectives
reference point method

Opis:

A new method is proposed for multi-objective optimization with discrete alternatives: MOORA (Multi-Objective Optimization on the basis of Ratio Analysis). This method refers to a matrix of responses of alternatives to objectives, to which ratios are applied. A well established other method for multi-objective optimization is used for comparison, namely the reference point method. Later on, it is demonstrated that this is the best choice among the different competing methods. In MOORA the set of ratios has the square roots of the sum of squared responses as denominators. These ratios, as dimensionless. seem to be the best choice among different ratios. These dimensionless ratios, situated between zero and one, are added in the case of maximization or subtracted in case of minimization. Finally, all alternatives are ranked, according to the obtained ratios. Eventually, to give more importance to an objective, an objective can be replaced by different sub-objectives or a coefficient of importance can be specified. An example on privatization in a transition economy illustrates the application of the method. If application is situated originally in a "welfare" economy, centered on production, MOORA becomes even more significant in a 'wellbeing economy", where consumer sovereignty is assumed.

Źródło:

Control and Cybernetics; 2006, 35, 2; 445-469
0324-8569

Pojawia się w:

Control and Cybernetics

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 47.

Tytuł:

A fuzzy approach to multi-objective mixed integer linear programming model for multi-echelon closed-loop supply chain with multi-product multi-time-period

Autorzy:

Akin Bas, Sema
Ahlatcioglu Ozkok, Beyza

Powiązania:

https://bibliotekanauki.pl/articles/406583.pdf

Data publikacji:

2020

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

closed-loop supply chain management
multi-objective optimization
fuzzy mixed-integerlinear programming
inventory decision

Opis:

By the green point of view, supply chain management (SCM), which contains supplier and location selection, production, distribution, and inventory decisions, is an important subject being examined in recent years by both practitioners and academicians. In this paper, the closed-loop supply chain (CLSC) network that can be mutually agreed by meeting at the level of common satisfaction of conflicting objectives is designed. We construct a multi-objective mixed-integer linear programming (MOMILP) model that allows decision-makers to more effectively manage firms’ closed-loop green supply chain (SC). An ecological perspective is brought by carrying out the recycling, remanufacturing and destruction to SCM in our proposed model. Maximize the rating of the regions in which they are located, minimize total cost and carbon footprint are considered as the objectives of the model. By constructing our model, the focus of customer satisfaction is met, as well as the production, location of facilities and order allocation are decided, and we also carry out the inventory control of warehouses. In our multi-product multi-component multi-time-period model, the solution is obtained with a fuzzy approach by using the min operator of Zimmermann. To illustrate the model, we provide a practical case study, and an optimal result containing a preferable level of satisfaction to the decision-maker is obtained.

Źródło:

Operations Research and Decisions; 2020, 30, 1; 25-46
2081-8858
2391-6060

Pojawia się w:

Operations Research and Decisions

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 48.

Tytuł:

Multi-Objective Optimization of Traffic Signal Timing Using Non-Dominated Sorting Artificial Bee Colony Algorithm for Unsaturated Intersections

Autorzy:

Zhao, H.
He, R.
Su, J.

Powiązania:

https://bibliotekanauki.pl/articles/223879.pdf

Data publikacji:

2018

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

unsaturated intersection
multi-objective optimization
signal timing
artificial bee colony algorithm
vehicle delay
vehicle stops

Opis:

Vehicle delay and stops at intersections are considered targets for optimizing signal timing for an isolated intersection to overcome the limitations of the linear combination and single objective optimization method. A multi-objective optimization model of a fixed-time signal control parameter of unsaturated intersections is proposed under the constraint of the saturation level of approach and signal time range. The signal cycle and green time length of each phase were considered decision variables, and a non-dominated sorting artificial bee colony (ABC) algorithm was used to solve the multi-objective optimization model. A typical intersection in Lanzhou City was used for the case study. Experimental results showed that a single-objective optimization method degrades other objectives when the optimized objective reaches an optimal value. Moreover, a reasonable balance of vehicle delay and stops must be achieved to flexibly adjust the signal cycle in a reasonable range. The convergence is better in the non-dominated sorting ABC algorithm than in non-dominated sorting genetic algorithm II, Webster timing, and weighted combination methods. The proposed algorithm can solve the Pareto front of a multi-objective problem, thereby improving the vehicle delay and stops simultaneously.

Źródło:

Archives of Transport; 2018, 46, 2; 85-96
0866-9546
2300-8830

Pojawia się w:

Archives of Transport

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 49.

Tytuł:

Ewolucyjna wielokryterialna optymalizacja obserwatorów detekcyjnych
Evolutionary multi-objective optimization of detection observers

Autorzy:

Kowalczuk, Z.
Białaszewski, T.

Powiązania:

https://bibliotekanauki.pl/articles/328360.pdf

Data publikacji:

2008

Wydawca:

Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN

Tematy:

diagnostyka
obserwatory detekcyjne
optymalizacja wielokryterialna
algorytmy genetyczne
diagnosis
detection observers
multi-objective optimization
genetic algorithms

Opis:

W pracy omawiane są możliwości wykorzystania algorytmów ewolucyjnych, opartych na niszowaniu oraz rodzajnikowaniu genetycznym (przypisywaniu rodzajnika), do poszukiwania optymalnych rozwiązań inżynierskich zadań wielokryterialnej optymalizacji. W tego rodzaju obliczeniach skutecznie wykorzystuje się koncepcję Pareto-optymalności oraz rangowania (przypisywania rangi). Realizowany ranking pozwala na uniknięcie arbitralnego ważenia celów kryterialnych (kosztów lub zysków). Zamiast tego, dokonuje się użytecznej klasyfikacji rozwiązań, która bardziej obiektywnie uwzględnia poszczególne kryteria. Jako przykład ilustrujący skuteczność proponowanego podejścia przedstawia się metodologię konstruowania liniowych obserwatorów stanu wykorzystywanych w układach detekcyjnych. Szczególną implementację tego podejścia stanowi projekt systemu diagnostyki bezzałogowego samolotu oraz układu napędowego jednostki pływającej.
In this paper the concept of evolutionary searching using mechanisms of genetic gendering and niching is used for solving engineering multi-objective optimization tasks. In such types of evolutionary computation (EC) the ideas of Pareto optimality and ranking are effectively utilized. Within the ranking approach we avoid arbitrary weighting of optimisation objectives (costs or gains). Instead, a useful classification of the solutions is performed that takes into account particular objectives more appropriately. In order to illustrate the applicability of the proposed variants of EC, we consider the issue of designing detection observers, which serve as a principal element in procedures of detecting faults, which may occur in exemplarily objects, like an unmanned plane and a ship propulsion system.

Źródło:

Diagnostyka; 2008, 1(45); 35-41
1641-6414
2449-5220

Pojawia się w:

Diagnostyka

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 50.

Tytuł:

Using multiobjective genetic algorithms for optimal resource management in an autonomous power system
Wykorzystanie wieloobiektowych algorytmów genetycznych do optymalnego zarządzania zasobami w autonomicznym systemie energetycznym

Autorzy:

Gozhyi, A.
Burlachenko, I.
Gromaszek, K.

Powiązania:

https://bibliotekanauki.pl/articles/408253.pdf

Data publikacji:

2012

Wydawca:

Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej

Tematy:

niezależny system energetyczny
algorytm genetyczny
wieloobiektowy algorytm ewolucyjny
non-dominated sorting genetic algorithm-II
archive-based micro genetic algorithm -2
e-Multi-Objective Evolution Algorithm
stand-alone power system
genetic algorithms
multi-objective evolutionary algorithm

Opis:

This paper presents the results of research of multi-objective genetic algorithms applied to solving the problem of system construction and power management. Research is determined by the need for optimal and efficient distribution of different types of energy (renewable or residual) and attempts to improve overall energy efficiency in the energy system which is independent of centralized networks.
Artykuł przedstawia rezultaty badań nad zastosowaniem wieloobiektowych algorytmów genetycznych do rozwiązania problemów tworzenia i projektowania i zarządzania systemem energetycznym. Przeprowadzenie badań zostało uwarunkowane potrzebą optymalnej i efektywnej dystrybucji różnego rodzaju energii (odnawialna czy pozostałe) oraz próbą poprawy ogólnej efektywności energetycznej w systemie energetycznym, niezależnym od zcentralizowanych sieci.

Źródło:

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2012, 4b; 48-50
2083-0157
2391-6761

Pojawia się w:

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 51.

Tytuł:

Adaptive robust PID sliding control of a liquid level system based on multi-objective genetic algorithm optimization

Autorzy:

Mahmoodabadi, M. J.
Taherkhorsandi, M.
Talebipour, M.

Powiązania:

https://bibliotekanauki.pl/articles/206697.pdf

Data publikacji:

2017

Wydawca:

Polska Akademia Nauk. Instytut Badań Systemowych PAN

Tematy:

sliding mode control
PID control
adaptive control
genetic algorithm
multi-objective optimization
liquid level system

Opis:

Adaptive robust PID sliding mode control optimized by means of multi-objective genetic algorithm is presented in this paper to control a three-tank liquid level system with external disturbances. While PID constitutes a reliable and stable controller, when compared to sliding mode control (SMC); robustness and tracking performance of SMC are higher than those of the PID control. To use the unique features of both controllers, optimal sliding mode control is executed in terms of a supervisory controller to enhance the performance of optimal adaptive PID control and to provide the necessary control inputs. After the design of the control law, control coefficients of all four involved controllers are optimized by using the multi-objective genetic algorithm so as to minimize errors and the input of the controller. Simulations illustrate that the adaptive robust PID sliding controller based on multi-objective genetic algorithm optimization provides a superior response in comparison to the results obtained separately by PID control, sliding mode control, and adaptive PID control, respectively.

Źródło:

Control and Cybernetics; 2017, 46, 3; 227-246
0324-8569

Pojawia się w:

Control and Cybernetics

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 52.

Tytuł:

Framework of an evolutionary multi-objective optimisation method for planning a safe trajectory for a marine autonomous surface ship

Autorzy:

Szłapczyński, Rafał
Ghaemi, Hossein

Powiązania:

https://bibliotekanauki.pl/articles/259121.pdf

Data publikacji:

2019

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

maritime autonomous surface ships
evolutionary multi-objective optimisation
ship manoeuvres
fuel consumption
ship collision avoidance

Opis:

This paper represents the first stage of research into a multi-objective method of planning safe trajectories for marine autonomous surface ships (MASSs) involved in encounter situations. Our method applies an evolutionary multiobjective optimisation (EMO) approach to pursue three objectives: minimisation of the risk of collision, minimisation of fuel consumption due to collision avoidance manoeuvres, and minimisation of the extra time spent on collision avoidance manoeuvres. Until now, a fully multi-objective optimisation has not been applied to the real-time problem of planning safe trajectories; instead, this optimisation problem has usually been reduced to a single aggregated cost function covering all objectives. The aim is to develop a method of planning safe trajectories for MASSs that is able to simultaneously pursue the three abovementioned objectives, make decisions in real time and without interaction with a human operator, handle basic types of encounters (in open or restricted waters, and in good or restricted visibility) and guarantee compliance with the International Regulations for Preventing Collisions at Sea. It should also be mentioned that optimisation of the system based on each criterion may occur at the cost of the others, so a reasonable balance is applied here by means of a configurable trade-off. This is done throughout the EMO process by means of modified Pareto dominance rules and by using a multi-criteria decision-making phase to filter the output Pareto set and choose the final solution.

Źródło:

Polish Maritime Research; 2019, 4; 69-79
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 53.

Tytuł:

Optimisation of the topping-up process of lubricating oil in medium-speed marine engines

Autorzy:

Młynarczak, Andrzej
Krzysztof, Rudzki

Powiązania:

https://bibliotekanauki.pl/articles/1573592.pdf

Data publikacji:

2021

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

multi-objective optimisation
medium-speed marine engine
lubricating oil
soild impurities
alkalinity
topping-up process

Opis:

In this paper, we examine the problem of optimising the process of topping up lubricating oil in medium-speed marine engines. This process is one of the methods that can be applied to improve the properties of lubricating oil. The amount of fresh oil added to lubricating oil system always balances its consumption, but the method used to top up depends on the marine engineer. Small amounts of fresh oil can be added at short intervals, or large ones at long intervals, and the element of randomness often plays a significant role here. It would therefore be valuable to find a method that can help the mechanical engineer to choose the right strategy. We apply a multi-criteria optimisation method for this purpose, and assume that the criterion functions depend on the concentration of solid impurities and the alkalinity, which are among the most important aspects of the quality and properties of lubricating oil. These criterion functions form the basis for multi-objective optimisation carried out with the use of the MATLAB computer program.

Źródło:

Polish Maritime Research; 2021, 2; 78-84
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 54.

Tytuł:

Multi-objective coordination optimisation method for DGs and EVs in distribution networks

Autorzy:

Tang, Huiling
Wu, Jiekang

Powiązania:

https://bibliotekanauki.pl/articles/141087.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

charging and discharging of electric vehicles
distribution networks
distributed generation
multi-objective coordination optimisation
SAPSO

Opis:

The loss of power and voltage can affect distribution networks that have a significant number of distributed power resources and electric vehicles. The present study focuses on a hybrid method to model multi-objective coordination optimisation problems for distributed power generation and charging and discharging of electric vehicles in a distribution system. An improved simulated annealing based particle swarm optimisation (SAPSO) algorithm is employed to solve the proposed multi-objective optimisation problem with two objective functions including the minimal power loss index and minimal voltage deviation index. The proposed method is simulated on IEEE 33-node distribution systems and IEEE-118 nodes large scale distribution systems to demonstrate the performance and effectiveness of the technique. The simulation results indicate that the power loss and node voltage deviation are significantly reduced via the coordination optimisation of the power of distributed generations and charging and discharging power of electric vehicles.With the methodology supposed in this paper, thousands of EVs can be accessed to the distribution network in a slow charging mode.

Źródło:

Archives of Electrical Engineering; 2019, 68, 1; 15-32
1427-4221
2300-2506

Pojawia się w:

Archives of Electrical Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 55.

Tytuł:

Multi-objective optimization for weld track geometry in wire-arc directed energy deposition of ER308L stainless steel

Autorzy:

Nguyen, Van Canh
Le, Van Thao
Pham, Ngoc-Linh
Nguyen, Anh-Thang

Powiązania:

https://bibliotekanauki.pl/articles/24084674.pdf

Data publikacji:

2023

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

wire-arc directed energy deposition
weld track
ER308L stainless steel
multi-objective optimisation

Opis:

In this research, the weld track geometry in wire-arc DED (directed energy deposition) of ER308L stainless steel was predicted and optimized. The studied geometrical attributes of weld tracks include weld track width (WTW), weld track height (WTH), and contact angle (α). The experiment was designed based on Taguchi method with three variables (current I, voltage U, and weld velocity v) and four levels for each variable. The ANOVA was adopted to evaluate the accuracy of the models and impact levels of variables on the responses. The TOPSIS method was utilized to predict the optimal variables. The results indicated that the predicted models were built with high accuracy levels (R2 = 98.92%, 98.77%, and 98.91% for WTW, WTH, and α, respectively). Among the studied variables, U features the highest effects on WTW and α with 78.56% and 69.90% of contribution, respectively, while v is the variable that has the most impact on WTH with 39.82% of contribution. The optimal variables predicted by TOPSIS were U = 23 V, I = 140 A, and v = 300 mm/min, which allows building components with stable and regular geometry.

Źródło:

Journal of Machine Engineering; 2023, 23, 2; 123--134
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 56.

Tytuł:

Improved Differential Evolution Algorithm to solve multi-objective of optimal power flow problem

Autorzy:

Al-Kaabi, Murtadha
Hasheme, Jaleel Al
Al-Bahrani, Layth

Powiązania:

https://bibliotekanauki.pl/articles/2135728.pdf

Data publikacji:

2022

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

Multi-objective Improved Differential Evolution Algorithm
MOIDEA
optimal power flow
OPF
set of Pareto front solutions
multi-objective function problems
fuel costs considering emissions
fuel costs considering real power losses
fuel costs considering voltage deviation

Opis:

This article presents a new efficient optimization technique namely the Multi- Objective Improved Differential Evolution Algorithm (MOIDEA) to solve the multiobjective optimal power flow problem in power systems. The main features of the Differential Evolution (DE) algorithm are simple, easy, and efficient, but sometimes, it is prone to stagnation in the local optima. This paper has proposed many improvements, in the exploration and exploitation processes, to enhance the performance of DE for solving optimal power flow (OPF) problems. The main contributions of the DE algorithm are i) the crossover rate will be changing randomly and continuously for each iteration, ii) all probabilities that have been ignored in the crossover process have been taken, and iii) in selection operation, the mathematical calculations of the mutation process have been taken. Four conflicting objective functions simultaneously have been applied to select the Pareto optimal front for the multi-objective OPF. Fuzzy set theory has been used to extract the best compromise solution. These objective functions that have been considered for setting control variables of the power system are total fuel cost (TFC), total emission (TE), real power losses (RPL), and voltage profile (VP) improvement. The IEEE 30-bus standard system has been used to validate the effectiveness and superiority of the approach proposed based on MATLAB software. Finally, to demonstrate the effectiveness and capability of the MOIDEA, the results obtained by this method will be compared with other recent methods.

Źródło:

Archives of Electrical Engineering; 2022, 71, 3; 641--657
1427-4221
2300-2506

Pojawia się w:

Archives of Electrical Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 57.

Tytuł:

Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm. Part II. Analysis of the results

Autorzy:

Sekulski, Z.

Powiązania:

https://bibliotekanauki.pl/articles/260079.pdf

Data publikacji:

2011

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

ship structure
multi-objective optimization
evolutionary algorithm
genetic algorithm
Pareto domination
set of non-dominated solutions

Opis:

Real ship structural design problems are usually characterized by presence of many conflicting objectives. Simultaneously, a complete definition of the optimum structural design requires a formulation of size-topology-shape-material optimization task unifying the optimization problems from the four areas and giving an effective solution of the problem. Any significant progress towards solving the problem has not been obtained so far. An objective of the present paper was to develop an evolutionary algorithm for multiobjective optimization of the structural elements of large spatial sections of ships. Selected elements of the multi-criteria optimization theory have been presented in detail. Methods for solution of the multi-criteria optimization problems have been discussed with the focus on the evolutionary optimization algorithms. In the paper an evolutionary algorithm where selection takes place based on the aggregated objective function combined with domination attributes as well as distance to the asymptotic solution, is proposed and applied to solve the problem of optimizing structural elements with respect to their weight and surface area for a high - speed vehicle-passenger catamaran structure, with taking into account several design variables such as plate thickness, scantlings of longitudinal stiffeners and transverse frames, and spacing between longitudinal and transversal members. Details of the computational models were kept at the level typical for conceptual design stage. Scantlings were analyzed by using the selected classification society rules. The results of numerical experiments with the use of the developed algorithm are presented. They show that the proposed genetic algorithm may be considered an efficient tool for multi-objective optimization of ship structures. The paper has been published in the three parts: Part I: Theoretical background on evolutionary multiobjective optimization, Part II: Computational simulations, and Part III: Analysis of the results.

Źródło:

Polish Maritime Research; 2011, 4; 3-13
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 58.

Tytuł:

Application of goal programming in the textile apparel industry to resolve production planning problems : a meta-goal programming technique using weights

Autorzy:

Malik, Zahid Amin
Kumar, Rakesh
Pathak, Govind
Roy, Haridas

Powiązania:

https://bibliotekanauki.pl/articles/2175839.pdf

Data publikacji:

2022

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

meta-goal programming
weighted goal programming
multi-objective decision making
asset allocation
textile sector
sensitivity analysis

Opis:

In the present business environment, rapidly developing technology and the competitive world market pose challenges to the available assets of industries. Hence, industries need to allocate and use available assets at the optimum level. Thus, industrialists must create a good decision plan to guide their performance in the production sector. As a result, the present study applies the Meta-Goal Programming technique to attain several objectives simultaneously in the textile production sector. The importance of this study lies in pursuing different objectives simultaneously, which has been almost ignored till now. The production scheduling problem in a textile firm is used to illustrate the practicability and mathematical validity of the suggested approach. Analysis of the results obtained demonstrates that the solution met all three meta-goals with some original goals being met partially. An analysis of the sensitivity of the approach to the weights of the preferences was conducted.

Źródło:

Operations Research and Decisions; 2022, 32, 2; 74--88
2081-8858
2391-6060

Pojawia się w:

Operations Research and Decisions

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 59.

Tytuł:

Multi-Objective Optimization of Squeeze Casting Process using Genetic Algorithm and Particle Swarm Optimization

Autorzy:

Patel, G. C. M.
Krishna, P.
Vundavilli, P. R.
Parappagoudar, M. B.

Powiązania:

https://bibliotekanauki.pl/articles/379601.pdf

Data publikacji:

2016

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

squeeze casting process
multi-objective optimization
genetic algorithm
squeeze casting
prasowanie stopu
optymalizacja wielokryterialna
algorytm genetyczny

Opis:

The near net shaped manufacturing ability of squeeze casting process requiresto set the process variable combinations at their optimal levels to obtain both aesthetic appearance and internal soundness of the cast parts. The aesthetic and internal soundness of cast parts deal with surface roughness and tensile strength those can readily put the part in service without the requirement of costly secondary manufacturing processes (like polishing, shot blasting, plating, hear treatment etc.). It is difficult to determine the levels of the process variable (that is, pressure duration, squeeze pressure, pouring temperature and die temperature) combinations for extreme values of the responses (that is, surface roughness, yield strength and ultimate tensile strength) due to conflicting requirements. In the present manuscript, three population based search and optimization methods, namely genetic algorithm (GA), particle swarm optimization (PSO) and multi-objective particle swarm optimization based on crowding distance (MOPSO-CD) methods have been used to optimize multiple outputs simultaneously. Further, validation test has been conducted for the optimal casting conditions suggested by GA, PSO and MOPSO-CD. The results showed that PSO outperformed GA with regard to computation time.

Źródło:

Archives of Foundry Engineering; 2016, 16, 3; 172-186
1897-3310
2299-2944

Pojawia się w:

Archives of Foundry Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 60.

Tytuł:

Evolutionary algorithms and fuzzy sets for discovering temporal rules

Autorzy:

Matthews, S. G.
Gongora, M. A.
Hopgood, A. A.

Powiązania:

https://bibliotekanauki.pl/articles/330148.pdf

Data publikacji:

2013

Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Tematy:

fuzzy association rules
temporal association rules
multi objective evolutionary algorithm
reguła asocjacji rozmytej
wieloobiektowy algorytm ewolucyjny

Opis:

A novel method is presented for mining fuzzy association rules that have a temporal pattern. Our proposed method contributes towards discovering temporal patterns that could otherwise be lost from defining the membership functions before the mining process. The novelty of this research lies in exploring the composition of fuzzy and temporal association rules, and using a multi-objective evolutionary algorithm combined with iterative rule learning to mine many rules. Temporal patterns are augmented into a dataset to analyse the method’s ability in a controlled experiment. It is shown that the method is capable of discovering temporal patterns, and the effect of Boolean itemset support on the efficacy of discovering temporal fuzzy association rules is presented.

Źródło:

International Journal of Applied Mathematics and Computer Science; 2013, 23, 4; 855-868
1641-876X
2083-8492

Pojawia się w:

International Journal of Applied Mathematics and Computer Science

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 61.

Tytuł:

Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm. Part I. Theoretical background on evolutionary multi objective optimization

Autorzy:

Sekulski, Z.

Powiązania:

https://bibliotekanauki.pl/articles/259303.pdf

Data publikacji:

2011

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

ship structure
multi-objective optimization
evolutionary algorithm
genetic algorithm
Pareto domination
set of non-dominated solutions

Opis:

Real ship structural design problems are usually characterized by presence of many conflicting objectives. Simultaneously, a complete definition of the optimal structural design requires a formulation of size-topology-shape-material optimization task unifying the optimization problems from these four areas and giving an effective solution of this problem. So far, a significant progress towards the solution of this problem has not been obtained. An objective of the present paper was to develop an evolutionary algorithm for multi-objective optimization of the structural elements of the large spatial sections of ships. Selected elements of the multi-criteria optimization theory have been presented in details. Methods for solution of the multi-criteria optimization problems have been discussed with the focus on the evolutionary optimization algorithms. In the paper an evolutionary algorithm where selection takes place based on the aggregated objective function combined with domination attributes as well as distance to the asymptotic solution is proposed and applied to solve the problem of optimizing structural elements with respect to their weight and surface area on a high speed vehicle-passenger catamaran structure with several design variables, such as plate thickness, scantlings of longitudinal stiffeners and transverse frames, and spacing between longitudinals and transversal members. Details of the computational models were at the level typical for conceptual design. Scantlings were analyzed using the selected rules of a classification society. The results of numerical experiments with the use of the developed algorithm are presented. They show that the proposed genetic algorithm can be an efficient multi-objective optimization tool for ship structures optimization. The paper will be published in three parts: Part I: Theoretical background on evolutionary multi-objective optimization, Part II: Computational investigations, and Part III: Analysis of the results.

Źródło:

Polish Maritime Research; 2011, 2; 3-18
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 62.

Tytuł:

Computationally Efficient Two-Objective Optimization of Compact Microwave Couplers through Corrected Domain Patching

Autorzy:

Kozieł, S.
Bekasiewicz, A.

Powiązania:

https://bibliotekanauki.pl/articles/221065.pdf

Data publikacji:

2018

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

computer-aided design
compact circuits
microwave couplers
multi-objective optimization
domain patching
surrogate modelling
response correction

Opis:

Finding an acceptable compromise between various objectives is a necessity in the design of contemporary microwave components and circuits. A primary reason is that most objectives are at least partially conflicting. For compact microwave structures, the design trade-offs are normally related to the circuit size and its electrical performance. In order to obtain comprehensive information about the best possible trade-offs, multi-objective optimization is necessary that leads to identifying a Pareto set. Here, a framework for fast multi-objective design of compact micro-strip couplers is discussed. We use a sequential domain patching (SDP) algorithm for numerically efficient handling of the structure bandwidth and the footprint area. Low cost of the process is ensured by executing SDP at the low-fidelity model level. Due to its bi-objective implementation, SDP cannot control the power split error of the coupler, the value of which may become unacceptably high along the initial Pareto set. Here, we propose a procedure for correction of the S-parameters’ characteristics of Pareto designs. The method exploits gradients of power split and bandwidth estimated using finite differentiation at the patch centres. The gradient data are used to correct the power split ratio while leaving the operational bandwidth of the structure at hand intact. The correction does not affect the computational cost of the design process because perturbations are pre-generated by SDP. The final Pareto set is obtained upon refining the corrected designs to the high-fidelity EM model level. The proposed technique is demonstrated using two compact microstrip rat-race couplers. Experimental validation is also provided.

Źródło:

Metrology and Measurement Systems; 2018, 25, 1; 139-157
0860-8229

Pojawia się w:

Metrology and Measurement Systems

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 63.

Tytuł:

Minimizing greenhouse gas emissions from ships using a Pareto multi-objective optimization approach

Autorzy:

Domachowski, Zygfryd

Powiązania:

https://bibliotekanauki.pl/articles/1573584.pdf

Data publikacji:

2021

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

minimizing emissions from ships
Pareto multi-objective optimization
minimizing emissions as preference objective
ship routing optimization
hybrid power to lower emissions

Opis:

To confront climate change, decarbonization strategies must change the global economy. According to statements made as part of the European Green Deal, maritime transport should also become drastically less polluting. As a result, the price of transport must reflect the impact it has on the environment and on health. In such a framework, the purpose of this paper is to suggest a novel method for minimizing emissions from ships, based on so-called Pareto multi-objective optimization. For a given voyage by a ship, the problem is to minimize emissions on the one hand and minimize fuel consumption or passage time on the other. Minimizing emissions is considered as the preferred objective. Therefore, the objective of minimizing fuel consumption or passage time needs to be reformulated as a constraint. Solving such a problem consists of finding most favourable path and speed for the ship and satisfying the optimization criteria. Relatively new systems such as hybrid diesel–electric systems have the potential to offer significant emissions benefits. A hybrid power supply utilizes the maximum efficiency of the direct mechanical drive and the flexibility of a combination of combustion power from the prime mover and stored power from energy storage from an electrical supply, at part load and overload. A new report by the American Bureau of Shipping suggests that maritime transport is likely to meet the International Maritime Organization’s target by 2030, solely by using current technology and operational measures. However, this would not be enough to attain the target of reducing CO2 emissions by 2050 by at least 50% compared to 2008. New technologies and operational methods must be applied.

Źródło:

Polish Maritime Research; 2021, 2; 96-101
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 64.

Tytuł:

Optimal allocation of reliability improvement target based on multiple correlation failures and risk uncertainty

Autorzy:

Jia, Shuoguo
Yan, Changfeng
Kang, Jianxiong
Xie, Heping
Wei, Yongqiao

Powiązania:

https://bibliotekanauki.pl/articles/24200787.pdf

Data publikacji:

2023

Wydawca:

Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN

Tematy:

multi-objective optimal allocation
reliability improvement
correlation failure
risk uncertainty
probability measure
cooperation game theory
PSO algorithm

Opis:

Optimal allocation of the reliability improvement target is essential for the system optimization design. In order to solve the problems that the optimization model is with loss of generality and the validity of the optimal solution is weakened, an optimal allocation method is proposed by considering multiple correlation failures and risk uncertainty in this paper. Two new concepts are presented, such as independent failure results in basic risk, and correlation failure leads to disturbance risk. A risk assessment machinery of “actual risk = basic risk + disturbance risk” is proposed. The action mechanisms of the three correlation failures are studied based on the cooperation game theory, and the generalized risk models are given under probability measure. Considering the improvement cost, the expectation and the variance of the reduction of system risk, a multi-objective optimal allocation model is developed, which is solved by using the PSO algorithm. Finally, the proposed optimal allocation is implemented at the 2-stage NGW planetary reducer, and the results show that it is more efficient and feasible for engineering practice.

Źródło:

Eksploatacja i Niezawodność; 2023, 25, 1; art. no. 8
1507-2711

Pojawia się w:

Eksploatacja i Niezawodność

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 65.

Tytuł:

Fuzzy goal programming technique for multi-objective indefinite quadratic bilevel programming problem

Autorzy:

Arora, R.
Gupta, K.

Powiązania:

https://bibliotekanauki.pl/articles/1403683.pdf

Data publikacji:

2020

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

bilevel programming
indefinite quadratic programming
multi-objective programming
pay-off matrix
Taylor series approximation
LINGO 17.0

Opis:

Bilevel programming problem is a non-convex two stage decision making process in which the constraint region of upper level is determined by the lower level problem. In this paper, a multi-objective indefinite quadratic bilevel programming problem (MOIQBP) is presented. The defined problem (MOIQBP) has multi-objective functions at both the levels. The followers are independent at the lower level. A fuzzy goal programming methodology is employed which minimizes the sum of the negative deviational variables of both the levels to obtain highest membership value of each of the fuzzy goal. The membership function for the objective functions at each level is defined. As these membership functions are quadratic they are linearized by Taylor series approximation. The membership function for the decision variables at both levels is also determined. The individual optimal solution of objective functions at each level is used for formulating an integrated pay-off matrix. The aspiration levels for the decision makers are ascertained from this matrix. An algorithm is developed to obtain a compromise optimal solution for (MOIQBP). A numerical example is exhibited to evince the algorithm. The computing software LINGO 17.0 has been used for solving this problem.

Źródło:

Archives of Control Sciences; 2020, 30, 4; 683-699
1230-2384

Pojawia się w:

Archives of Control Sciences

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 66.

Tytuł:

Multi-objective Channel Decision for Adhoc Cognitive Radio Network

Autorzy:

Awathankar, Rahul V
Rukmini, M S S
Raut, Rajeshree D

Powiązania:

https://bibliotekanauki.pl/articles/226079.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

cognitive radio networks
ranking and optimization
cooperative network
channel decision
multi objective decision making(MODM)
MOORA method

Opis:

Faithfull detection of non-utilized spectrum hole in available channel is a crucial issue for cognitive radio network. Choosing the best available channel for a secondary user transmission includes settling on decision of accessible choices of free frequency spectrum based on multiple objectives. Thus channel judgment can be demonstrated as several objective decision making (MODM) problem. An ultimate goal of this exploration is to define and execute a technique for multiple objective optimizations of multiple alternative of channel decision in Adhoc cognitive radio network. After a coarse review of an articles related to the multiple objective decision making within a process of channel selection, Multiple Objective Optimization on the basis of the Ratio Analysis (MOORA) technique is taken into consideration. Some important objectives values of non-utilized spectrum collected by a fusion center are proposed as objectives for consideration in the decision of alternatives. MOORA method is applied to a matrix f replies of each channel alternatives to channel objectives which results in set ratios. Among the set of obtained dimensionless ratios, all the channel alternatives are ranked in descending order. In MOORA, channel choices with moderate objectives can top in ranking order, which is hardly conceivable with linearly weighted objectives of the different channel by using different decision making technique.

Źródło:

International Journal of Electronics and Telecommunications; 2019, 65, 2; 253-257
2300-1933

Pojawia się w:

International Journal of Electronics and Telecommunications

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 67.

Tytuł:

Multi-objective dynamic economic dispatch using Fruit Fly Optimization method

Autorzy:

Arsyad, Haripuddin
Suyuti, Ansar
Said, Sri Mawar
Akil, Yusri Syam

Powiązania:

https://bibliotekanauki.pl/articles/1841297.pdf

Data publikacji:

2021

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

dynamic economic dispatch
Fruit Fly Optimization method
multi-objective
dynamiczna wysyłka ekonomiczna
Metoda optymalizacji muszki owocowej
wielocelowy

Opis:

An essential task of the interconnected power system is about how to optimize power plants during operation time which is known as economic dispatch. In this study, the Fruit Fly Optimization method is proposed to solve problems of dynamic economic dispatch in an electrical power system. To measure the performance of the method, a simulation was conducted for two different electric systems of the existing Sulselbar 150 kV thermal power plant system in Indonesia with two objective functions, namely fuel costs and active power transmission losses, aswell as the 30-bus IEEE standard system with five objective functions namely fuel costs, transmission losses (active and reactive power), a reactive power reserve margin, and an emission index by considering a power generation limit and ramp rates as the constraints. Under tested cases, the simulation results have shown that the Fruit Fly Optimization method can solve the problems of dynamic economic dispatch better than other existing optimization methods. It is indicated by all values of the objective functions that are lowest for the Fruit Fly Optimization method. Moreover, the obtained computational time is sufficiently fast to get the best solution.

Źródło:

Archives of Electrical Engineering; 2021, 70, 2; 351-366
1427-4221
2300-2506

Pojawia się w:

Archives of Electrical Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 68.

Tytuł:

Scaling laws for the FE solutions of induction machines

Autorzy:

Nell, Martin
Lenz, Jonas
Hameyer, Kay

Powiązania:

https://bibliotekanauki.pl/articles/141030.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

evolutionary strategy
finite element method analysis
induction machine
induction motor
loss calculation
multi-objective optimization
scaling laws

Opis:

In this paper a scaling approach for the solution of 2D FE models of electric machines is proposed. This allows a geometrical and stator and rotor resistance scaling as well as a rewinding of a squirrel cage induction machine enabling an efficient numerical optimization. The 2D FEM solutions of a reference machine are calculated by a model based hybrid numeric induction machine simulation approach. In contrast to already known scaling procedures for synchronous machines the FEM solutions of the induction machine are scaled in the stator-current-rotor-frequency-plane and then transformed to the torque-speed-map. This gives the possibility to use a new time scaling factor that is necessary to keep a constant field distribution. The scaling procedure is validated by the finite element method and used in a numerical optimization process for the sizing of an electric vehicle traction drive considering the gear ratio. The results show that the scaling procedure is very accurate, computational very efficient and suitable for the use in machine design optimization.

Źródło:

Archives of Electrical Engineering; 2019, 68, 3; 677-695
1427-4221
2300-2506

Pojawia się w:

Archives of Electrical Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 69.

Tytuł:

Multi-objective two-stage stochastic optimization model for post-disaster waste management

Autorzy:

Boonmee, Chawis
Legsakul, Komkrit
Arimura, Mikiharu

Powiązania:

https://bibliotekanauki.pl/articles/23966900.pdf

Data publikacji:

2023

Wydawca:

Stowarzyszenie Menedżerów Jakości i Produkcji

Tematy:

po katastrofie
gospodarowanie odpadami
wielozadaniowość
dwustopniowy model stochastyczny
post-disaster
waste management
multi-objective
two-stage stochastic model

Opis:

Post-disaster waste management is one of the most crucial tasks in the recovery phase of the disaster cycle, and it was created to assist affected communities in returning to a stable state following a disaster. To develop an efficient post-disaster waste management strategy, this study presents a multi-objective two-stage stochastic mixed integer linear programming model for post-disaster waste management. The proposed mathematical model was developed based on a mixed strategy of on-site and off-site waste separation in the supply chain. This study aims to minimize not only the total cost and the environmental impact to provide waste flow decisions and choose collection and separation sites, recycling sites, landfill sites, and incineration sites throughout the supply chain under the uncertain situation. To solve a multi-objective problem, a normalized weighted sum method is used to find the solution. A numerical case based on realistic data is presented to validate and verify the proposed model. Based on the numerical example, the results demonstrated that the implementation of the mixed strategy for waste separation with the consideration of uncertain situations can reduce the total cost, balance the environmental impact, and determine the unexpected situation in the post-disaster waste supply chain efficiently.

Źródło:

Production Engineering Archives; 2023, 29, 1; 58--68
2353-5156
2353-7779

Pojawia się w:

Production Engineering Archives

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 70.

Tytuł:

Carpooling Scheme Selection for Taxi Carpooling Passengers: a Multi-Objective Model and Optimisation Algorithm

Autorzy:

Xiao, Q.
He, R.-C.

Powiązania:

https://bibliotekanauki.pl/articles/223987.pdf

Data publikacji:

2017

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

traffic engineering
taxi carpooling
multi-objective optimisation
information entropy
inżynieria ruchu
system carpooling
wspólne dojazdy
infrastruktura transportowa
optymalizacja

Opis:

Carpooling has been long deemed a promising approach to better utilizing existing transportation infrastructure, the carpooling system can alleviate the problems of traffic congestion and environmental pollution effectively in big cities. However, algorithmic and technical barriers inhibit the development of taxi carpooling, and it is still not the preferred mode of commute. In order to improve carpooling efficiency in urban, a taxi carpooling scheme based on multi-objective model and optimisation algorithm is presented. In this paper, urban traffic road network nodes were constructed from the perspective of passenger carpooling. A multi-objective taxi carpooling scheme selection model was built based on an analysis of the main influences of carpooling schemes on passengers. This model aimed to minimise get-on-and-get-off distance, carpooling waiting time and arriving at the destination. Furthermore, a two-phase algorithm was used to solve this model. A rapid searching algorithm for feasible routes was established, and the weight vector was assigned by introducing information entropy to obtain satisfying routes. The algorithm is applied to the urban road, the Simulation experimental result indicates that the optimisation method presented in this study is effective in taxi carpooling passengers.

Źródło:

Archives of Transport; 2017, 42, 2; 85-92
0866-9546
2300-8830

Pojawia się w:

Archives of Transport

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 71.

Tytuł:

A new method of decision making in multi-objective optimal placement and sizing of distributed generators in the smart grid

Autorzy:

Khoshayand, Hossein Ali
Wattanapongsakorn, Naruemon
Mahdavian, Mehdi
Ganji, Ehsan

Powiązania:

https://bibliotekanauki.pl/articles/2202555.pdf

Data publikacji:

2023

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

backward-forward load distribution
fuzzy logic
iterative search algorithm
multi-objective optimization
shortest distance from the origin
weighted sum

Opis:

One of the most important aims of the sizing and allocation of distributed generators (DGs) in power systems is to achieve the highest feasible efficiency and performance by using the least number of DGs. Considering the use of two DGs in comparison to a single DG significantly increases the degree of freedom in designing the power system. In this paper, the optimal placement and sizing of two DGs in the standard IEEE 33-bus network have been investigated with three objective functions which are the reduction of network losses, the improvement of voltage profiles, and cost reduction. In this way, by using the backward-forward load distribution, the load distribution is performed on the 33-bus network with the power summation method to obtain the total system losses and the average bus voltage. Then, using the iterative search algorithm and considering problem constraints, placement and sizing are done for two DGs to obtain all the possible answers and next, among these answers three answers are extracted as the best answers through three methods of fuzzy logic, the weighted sum, and the shortest distance from the origin. Also, using the multi-objective non-dominated sorting genetic algorithm II (NSGA-II) and setting the algorithm parameters, thirty-six Pareto fronts are obtained and from each Pareto front, with the help of three methods of fuzzy logic, weighted sum, and the shortest distance from the origin, three answers are extracted as the best answers. Finally, the answer which shows the least difference among the responses of the iterative search algorithm is selected as the best answer. The simulation results verify the performance and efficiency of the proposed method.

Źródło:

Archives of Electrical Engineering; 2023, 72, 1; 253--271
1427-4221
2300-2506

Pojawia się w:

Archives of Electrical Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 72.

Tytuł:

Investigating multi-objective time, cost, and risk problems using the Grey Wolf Optimization algorithm

Autorzy:

Yilmaz, Mehmet
Dede, Tayfun
Grzywiński, Maksym

Powiązania:

https://bibliotekanauki.pl/articles/31342511.pdf

Data publikacji:

2023

Wydawca:

Politechnika Częstochowska

Tematy:

multi-objective optimization
grey wolf optimization algorithm
time-cost-risk
optymalizacja wielocelowa
algorytm optymalizacji szarego wilka
czas-koszt-ryzyko

Opis:

Safety plays a crucial role in construction projects. Safety risks encompass potential hazards such as work accidents, injuries, and security. Consequently, it is important to effectively manage these risks with equal emphasis on time and cost considerations during the project planning phase. Within the scope of this research, the grid and archive-based Grey Wolf Optimizer (GWO) algorithm was employed to investigate multi-objective time-cost-risk problems. By employing the GWO, multiple Pareto solutions were provided to the decisionmaker, facilitating improved decision-making. It was determined that the GWO algorithm yields better results in time-cost-risk problems compared to the Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms.

Źródło:

Budownictwo o Zoptymalizowanym Potencjale Energetycznym; 2023, 12; 79-86
2299-8535
2544-963X

Pojawia się w:

Budownictwo o Zoptymalizowanym Potencjale Energetycznym

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 73.

Tytuł:

Optymalizacja wielokryterialna na podstawie równań regresji procesu nagniatania wybranych części maszyn rolniczych
Multi-objective optimization of the burnishing process on the basis of regression equations for particular agricultural machinery parts

Autorzy:

Kukiełka, K.
Kukiełka, L.
Patyk, R.
Szczepanik, K.

Powiązania:

https://bibliotekanauki.pl/articles/292012.pdf

Data publikacji:

2011

Wydawca:

Polskie Towarzystwo Inżynierii Rolniczej

Tematy:

maszyna rolnicza
wytwarzanie
regeneracja
nagniatanie
warstwa wierzchnia
optymalizacja wielokryterialna
agricultural machine
production
regeneration
burnishing
surface layer
multi-objective optimization

Opis:

Praca dotyczy określania optymalnych wartości parametrów technologicznych nagniatania tocznego z elektrokontakowym nagrzewaniem, w procesie wytwarzania lub regeneracji części maszyn rolniczych. Badane zmienne wyjściowe w postaci najważniejszych wskaźników eksploatacyjnych (odporność na zacieranie, współczynnik tarcia ślizgowego i zużycie ścierne liniowe) opisano równaniami regresji od parametrów technologicznych. Równania te zastosowano w optymalizacji wielokryterialnej, przy pomocy napisanych skryptów w programie Matlab, na przykładzie części nowej ze stali C55. Opracowano zbiór rozwiązań dopuszczalnych na płaszczyźnie zmiennych sterowalnych (parametrów technologicznych) ze względu na przyjęte kryteria (wskaźniki eksploatacyjne) i ograniczenia.
This paper concerns determination of the optimal technological parameters of burnishing rolling with electrical current, in the production or regeneration of agricultural machinery parts. Examined dependent variables, as the most important operational indicators (scuffing resistance, sliding friction coefficient and linear abrasive wear) were described by regression equations from technological parameters. These equations were used in multi-objective optimization process with delivered scripts in Matlab program, for example a new part made of steel C55. A set of acceptable solutions was developed on the plane of controllable variables (of technological parameters) on account of accepted criteria (operational indicators) and limitations.

Źródło:

Inżynieria Rolnicza; 2011, R. 15, nr 5, 5; 149-156
1429-7264

Pojawia się w:

Inżynieria Rolnicza

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 74.

Tytuł:

Анализ процессa территориального планирования в Литвe, Польшe и Германии
Spatial planning process analysis of Lithuania, Poland and Germany

Autorzy:

Komarovska, A.
Peckienė, A.
Rasiulis, R.
Cepurnaite, J.

Powiązania:

https://bibliotekanauki.pl/articles/398923.pdf

Data publikacji:

2015

Wydawca:

Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej

Tematy:

planowanie przestrzenne
werbalny system podejmowania decyzji
UniComBOS
wielokryterialne podejmowanie decyzji
spatial planning
verbal decision-making system
multi-objective decision making

Opis:

В работе проведен систематический анализ процесса территориального планирования в Литве, Польше и Германии. В результате анализа были определены доминирующие проблемы в секторе территориального планирования. Планы развития района не гарантируют устойчивого развития, экономического роста, обеспечения занятости, привлечения инвестиций, уменьшения инвестиционного риска. Поэтому необходимо разработать комплексную систему территориального планирования, которая может обеспечить всесторонний и объективный анализ развития и изменений территории, сбор информации, ее накопление и хранение. Было установлено, что задача сравнения моделей систем территориального планирования приравнивается к классу задач неструктурированных проблем с качественными переменными. Поэтому при решении таких проблем может быть применен вербальный метод принятия решений, такой как UniComBOS.
The paper conducted a systematic analysis of the spatial planning process in Lithuania, Poland and Germany. By analysis of spatial planning sector, the dominant root of the problem. Drawing up plans do not ensure balanced regional development, economic growth, job security, attracting investment, increase investment risk. It is therefore necessary to develop an integrated spatial planning document preparation and implementation of a system that can ensure the development of the territory and changes in a comprehensive and objective analysis of the information collection and storage. It was found that spatial planning system models for comparison task assigned to unstructured problems with qualitative variables class of problems. It is therefore suitable for solving these problems verbal decision-making methods, such as UniComBOS.

Źródło:

Ekonomia i Zarządzanie; 2015, 7, 1; 407-431
2080-9646

Pojawia się w:

Ekonomia i Zarządzanie

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 75.

Tytuł:

Multi-objective data envelopment analysis: A game of multiple attribute decision-making

Autorzy:

Chen, Yuh Wen

Powiązania:

https://bibliotekanauki.pl/articles/522074.pdf

Data publikacji:

2019

Wydawca:

Uniwersytet Ekonomiczny w Katowicach

Tematy:

Data Envelopment Analysis (DEA)
Multi-Objective Linear Programming (MOLP)
Multiple Attribute Decision Making (MADM)
Research and Development (R&D) efficiency

Opis:

Aim/purpose ‒ The traditional data envelopment analysis (DEA) is popularly used to evaluate the relative efficiency among public or private firms by maximising each firm’s efficiency: the decision maker only considers one decision-making unit (DMU) at one time; thus, if there are n firms for computing efficiency scores, the resolution of n similar problems is necessary. Therefore, the multi-objective linear programming (MOLP) problem is used to simplify the complexity. Design/methodology/approach ‒ According to the similarity between the DEA and the multiple attribute decision making (MADM), a game of MADM is proposed to solve the DEA problem. Related definitions and proofs are provided to clarify this particular approach. Findings ‒ The multi-objective DEA is validated to be a unique MADM problem in this study: the MADM game for DEA is eventually identical to the weighting multi-objective DEA. This MADM game for DEA is used to rank ten LCD companies in Taiwan for their research and development (R&D) efficiencies to show its practical application. Research implications/limitations ‒ The main advantage of using an MADM game on the weighting multi-objective DEA is that the decision maker does not need to worry how to set these weights among DMUs/objectives, this MADM game will decide the weights among DMUs by the game theory. However, various DEA models are eventually evaluation tools. No one can guarantee us with 100% confidence that their evaluated results of DEA could be the absolute standard. Readers should analyse the results with care. Originality/value/contribution ‒ A unique link between the multi-objective CCR DEA and the MADM game for DEA is established and validated in this study. Previous scholars seldom explored and developed this breathtaking view before.

Źródło:

Journal of Economics and Management; 2019, 37; 156-177
1732-1948

Pojawia się w:

Journal of Economics and Management

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 76.

Tytuł:

Dedicated system for design, analysis and optimization of AC-DC converters

Autorzy:

Piasecki, S.
Szmurlo, R.
Rabkowski, J.
Jasiński, M.

Powiązania:

https://bibliotekanauki.pl/articles/201404.pdf

Data publikacji:

2016

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

AC-DC converter
multi-objective optimization
design methodology
distributed generation systems
konwerter AC-DC
optymalizacja wielokryterialna
metodologia projektowania
generacja rozproszona

Opis:

This paper presents an originally-developed system for design and optimization of AC-DC converters dedicated in particular to operation in distributed generation systems. The proposed procedure is based on a multi-objective discrete optimization and expert knowledge of electrical engineering, especially power electronics. The required accuracy of calculations is obtained by using the database with real components, while the parameters applied in calculations are based on parameters provided by the manufacturer. The paper presents the foundations and basic system properties, the design and optimization process, and selected optimization results, obtained with a fully functional prototype of the design and optimization system (DaOS).

Źródło:

Bulletin of the Polish Academy of Sciences. Technical Sciences; 2016, 64, 4; 897-905
0239-7528

Pojawia się w:

Bulletin of the Polish Academy of Sciences. Technical Sciences

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 77.

Tytuł:

System reliability optimization: A fuzzy multi-objective genetic algorithm approach
Optymalizacja niezawodności systemu: metoda rozmytego algorytmu genetycznego do optymalizacji wielokryterialnej

Autorzy:

Mutingi, M.

Powiązania:

https://bibliotekanauki.pl/articles/300808.pdf

Data publikacji:

2014

Wydawca:

Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN

Tematy:

system reliability optimization
multi-objective optimization
genetic algorithm
fuzzy optimization
redundancy
optymalizacja niezawodności systemu
optymalizacja wielokryterialna
algorytm genetyczny
optymalizacja rozmyta
nadmiarowość

Opis:

System reliability optimization is often faced with imprecise and conflicting goals such as reducing the cost of the system and improving the reliability of the system. The decision making process becomes fuzzy and multi-objective. In this paper, we formulate the problem as a fuzzy multi-objective nonlinear program. A fuzzy multi-objective genetic algorithm approach (FMGA) is proposed for solving the multi-objective decision problem in order to handle the fuzzy goals and constraints. The approach is able flexible and adaptable, allowing for intermediate solutions, leading to high quality solutions. Thus, the approach incorporates the preferences of the decision maker concerning the cost and reliability goals through the use of fuzzy numbers. The utility of the approach is demonstrated on benchmark problems in the literature. Computational results show that the FMGA approach is promising.
Często spotykanym problemem w optymalizacji niezawodności systemu są niedokładnie określone i sprzeczne cele, takie jak zmniejszenie kosztów systemu przy jednoczesnej poprawie jego niezawodności. Proces podejmowania decyzji staje się wtedy rozmyty i wielokryterialny. W niniejszej pracy, sformułowaliśmy ten problem jako rozmyty wielokryterialny program nieliniowy (FMOOP). Zaproponowaliśmy metodę rozmytego wielokryterialnego algorytmu genetycznego (FMGA), która pozwala rozwiązać wielokryterialny problem decyzyjny z uwzględnieniem rozmytych celów i ograniczeń. Podejście to jest uniwersalne, co pozwala na rozwiązania pośrednie, prowadzące do rozwiązań wysokiej jakości. Metoda uwzględnia preferencje decydenta w zakresie celów związanych z kosztami i niezawodnością poprzez wykorzystanie liczb rozmytych. Użyteczność FMGA wykazano na przykładzie wzorcowych problemów z literatury. Wyniki obliczeń wskazują, że podejście FMGA jest obiecujące.

Źródło:

Eksploatacja i Niezawodność; 2014, 16, 3; 400-406
1507-2711

Pojawia się w:

Eksploatacja i Niezawodność

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 78.

Tytuł:

Rodzajnikowy dobór struktury kryteriów w zadaniach wielokryterialnej optymalizacji systemów decyzyjnych
Gender criteria structure selection in multi-objective optimization of decision systems

Autorzy:

Kowalczuk, Z.
Białaszewski, T.

Powiązania:

https://bibliotekanauki.pl/articles/156879.pdf

Data publikacji:

2011

Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Tematy:

wielokryterialna optymalizacja
algorytmy genetyczne
diagnostyka
obserwatory detekcyjne
odporne układy sterowania
multi-objective optimization
genetic algorithms
diagnostic
detection observers
robust control systems

Opis:

Praca poświęcona jest problemowi doboru kryteriów i ich klasyfikacji na grupy rodzajnikowe (warianty) w zadaniach wielokryterialnej optymalizacji systemów decyzyjnych, które związane są m.in. z projektowaniem systemów diagnostyki oraz układów sterowania. Celem naszego podejścia jest efektywne poszukiwanie rozwiązań w zadaniach optymalizacyjnych wyrażonych za pomocą wielu kryteriów, gdzie projektant spotyka się z zagadnieniem Pareto-optymalności, albo zmuszany jest do stosowania klasycznych metod optymalizacji - zwykle silnie upraszczających postawiony problem polioptymalizacji. W przypadku podejścia populacyjnego prezentowana metoda może w istotny sposób ułatwić projektantowi ostateczną ocenę uzyskanych rozwiązań. Skuteczność rozważanej metodologii ilustrują przykłady konstruowania liniowych obserwatorów stanu.
The paper gives an account of research results concerning a project of creating a fully-autonomous robotic decision-making system able to interact with its environment, and based on a mathematical model of human cognitive-behavioural psychology with some elements of personality psychology included. The basic idea of this paper is focused on the concept of possible errors in an intelligent robot control system. The system is a composed result of constructing an Intelligent Decision-making System (IDS) based on several recently developed ideas concerning an interactive cognitive-behavioural organism (Artificial Intelligence and Soft Computing, 2010), a fundamental model of human psychology and an IDS system (MMAR, 2010; Applied Mathematics and Computer Science, 2011) for controlling autonomous robots. Principal notions of IDS (Data-processing system based on cognitive psychology, along with the locations of possible errors), conceptions of discovery (object) and (long-time) memory are introduced. Then the heart of IDS, a personality (emotional) system which consists of systems of emotions and needs (based on the Maslow's theory/pyramid and a fuzzy model of needs), is presented. Furthermore, the paper shows what kind of errors can appear and what are their locations in IDS. Methods of avoiding these errors are also indicated.

Źródło:

Pomiary Automatyka Kontrola; 2011, R. 57, nr 7, 7; 810-813
0032-4140

Pojawia się w:

Pomiary Automatyka Kontrola

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 79.

Tytuł:

An algorithm for quadratically constrained multi-objective quadratic fractional programming with pentagonal fuzzy numbers

Autorzy:

Goyal, Vandana
Rani, Namrata
Gupta, Deepak

Powiązania:

https://bibliotekanauki.pl/articles/2175831.pdf

Data publikacji:

2022

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

multi-objective quadratic fractional programming model
MOQFPM
pentagonal fuzzy number
PFN
mean method of α-cut
parametric approach
ε-constraint method

Opis:

This study proposes a methodology to obtain an efficient solution for a programming model which is multi-objective quadratic fractional with pentagonal fuzzy numbers as coefficients in all the objective functions and constraints. The proposed approach consists of three stages. In the first stage, defuzzification of the coefficients is carried out using the mean method of α-cut. Then, in the second stage, a crisp multi-objective quadratic fractional programming model (MOQFP) is constructed to obtain a non-fractional model based on an iterative parametric approach. In the final stage, this multi- -objective non-fractional model is transformed to obtain a model with a single objective by applying the ε-constraint method. This final model is then solved to get desired solution. Also, an algorithm and flowchart expressing the methodology are given to present a clear picture of the approach. Finally, a numerical example illustrating the complete approach is given.

Źródło:

Operations Research and Decisions; 2022, 32, 1; 49--71
2081-8858
2391-6060

Pojawia się w:

Operations Research and Decisions

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 80.

Tytuł:

Innovative advantages ranking : a new approach

Autorzy:

Gogodze, Joseph

Powiązania:

https://bibliotekanauki.pl/articles/406269.pdf

Data publikacji:

2019

Wydawca:

Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej

Tematy:

global innovation index
Markov chain
analytic hierarchy process
multi-objective decision
making problem
globalny indeks innowacji
łańcuch Markowa
proces hierarchii analitycznej

Opis:

Assessing/ranking the innovative advantages of countries is a problem of current interest. However, the set of tools used for this purpose are very narrow and often prone to criticism. The aim of this study is to somewhat extend the arsenal of methods used to this end. For this purpose, based on a data set from the Global Innovation Index, this study develops a special multi-objective decision-making problem, the aim of which is to identify the “best countries” in the sense of their innovative advantage. Moreover, applying ranking methods (in our case the Markov-chain method and analytic hierarchy process) to this multi-objective decision-making problem, we obtain new alternative ratings/rankings of the innovative advantages of countries.

Źródło:

Operations Research and Decisions; 2019, 29, 1; 5-15
2081-8858
2391-6060

Pojawia się w:

Operations Research and Decisions

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 81.

Tytuł:

Wybrane zagadnienia wielokryterialnego planowania sieci WLAN
Selected issues of multi-objective WLAN planning

Autorzy:

Pieprzycki, A.
Ludwin, W.

Powiązania:

https://bibliotekanauki.pl/articles/93106.pdf

Data publikacji:

2018

Wydawca:

Państwowa Wyższa Szkoła Zawodowa w Tarnowie

Tematy:

wielokryterialny algorytm optymalizacji
planowanie
WLAN
optymalizacja nieliniowa
cuckoo search
multi objective swarm optimization
multiobjective cuckoo search
WLAN planning
non–linear optimization

Opis:

Celem artykułu jest zastosowanie wielokryterialnego podejścia do planowania MOO (Multi Objective Optimisation) sieci łączności bezprzewodowej WLAN (Wireless Local Area Network) z wykorzystaniem wybranych rojowych metod optymalizacji. W tym celu, w procesie poszukiwania ekstremów dwóch funkcji kryterialnych, które są wskaźnikiem optymalizacyjnych, zastosowano dwa algorytmy rojowe: kukułki MOCS (Multi Objective Cuckoo Search) oraz optymalizacji rojem cząstek MOPSO (Multi Objective Particle Swarm Optimisation). Wyniki porównano z jednokryterialnym SOO (Single Objective Optimisation) zasięgowym planowaniem sieci bazującym na regularnym rozmieszczeniu punktów testujących TP (test point) z wykorzystaniem rojowego algorytmu kukułki CS (Cuckoo Search).
The aim of the article is to apply a multicriteria approach to MOO (Multi Objective Optimization) planning for WLAN (Wireless Local Area Network) using selected swarm optimization methods. For this purpose, in the process of searching for the extremum of two criterion functions, which are an optimization index, two swarm algorithms were used: MOCS (Multi Objective Cuckoo Search) and MOPSO (Multi Objective Particle Swarm Optimization). The results were compared with the single-criterion SOO (Single Objective Optimization) range-based network planning based on the regular distribution of TP (test point) using the CS Cuckoo Search algorithm.

Źródło:

Science, Technology and Innovation; 2018, 3, 2; 69-78
2544-9125

Pojawia się w:

Science, Technology and Innovation

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 82.

Tytuł:

Surrogate Worth Trade off method’s review, applications and extension
Przegląd metody „Surrogate Worth Trade-off”, aplikacje i rozszerzenia

Autorzy:

Kazemi, M.
Shooshtarian, Z.

Powiązania:

https://bibliotekanauki.pl/articles/405004.pdf

Data publikacji:

2013

Wydawca:

Politechnika Częstochowska

Tematy:

surrogate worth function
trade-off function
multi-objective
group decision making
funkcjonowanie surrogate worth
funkcja trade-off
cel wieloraki
grupa decydentów

Opis:

One of the most areas of research in recent years, is decision making methodologies under conflicting multi-objective. Due to this, several techniques have been developed. Among them, Surrogate Worth Trade - Off (SWT) method is interested to solve the multi-objective problem by analysts and researchers. This paper intends to review and application of Surrogate Worth Trade - Off technique. The SWT method is one approach that provides an interference between the decision maker’s preferences and the mathematical models associated with the non-dominated solutions. In the final part of this work a method is proposed in order to use SWT technique with multiple decision - makers.
Jednym z najbardziej ważnych obszarów badań w ciągu ostatnich lat, jest metodologia podejmowania decyzji w przypadku wielu sprzecznych celów. W związku z tym, opracowano kilka technik. Wśród nich występuje metoda Surrogate Worth Trade-off - która koncentruje się na rozwiązaniu złożonego przez wielu naukowców i analityków. Niniejszy artykuł ma na celu przegląd i sposób stosowania tej metody. Metoda SWT to podejście, które zapewnia zakłócenia między preferencjami decydenta i modeli matematycznych związanych z niedominującymi rozwiązaniami. W końcowej części artykułu, zaproponowana została metoda w celu wykorzystania SWT przy podejmowaniu wielu decyzji.

Źródło:

Polish Journal of Management Studies; 2013, 8; 98-109
2081-7452

Pojawia się w:

Polish Journal of Management Studies

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 83.

Tytuł:

Applying optimization techniques on cold-formed C-channel section under bending

Autorzy:

El-Lafy, Heba F.
Elgendi, Elbadr O.
Morsy, Alaa M.

Powiązania:

https://bibliotekanauki.pl/articles/27312402.pdf

Data publikacji:

2022

Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Tematy:

kształtownik zimnogięty
optymalizacja
algorytm genetyczny
cold-formed sections
single optimization
multi-objective optimization
genetic algorithms
effective width method
C-channel beams

Opis:

There are no standard dimensions or shapes for cold-formed sections (CFS), making it difficult for a designer to choose the optimal section dimensions in order to obtain the most cost-effective section. A great number of researchers have utilized various optimization strategies in order to obtain the optimal section dimensions. Multi-objective optimization of CFS C-channel beams using a non-dominated sorting genetic algorithm II was performed using a Microsoft Excel macro to determine the optimal cross-section dimensions. The beam was optimized according to its flexural capacity and cross-sectional area. The flexural capacity was computed utilizing the effective width method (EWM) in accordance with the Egyptian code. The constraints were selected so that the optimal dimensions derived from optimization would be production and construction-friendly. A Pareto optimal solution was obtained for 91 sections. The Pareto curve demonstrates that the solution possesses both diversity and convergence in the objective space. The solution demonstrates that there is no optimal solution between 1 and 1.5 millimeters in thickness. The solutions were validated by conducting a comprehensive parametric analysis of the change in section dimensions and the corresponding local buckling capacity. In addition, performing a single-objective optimization based on section flexural capacity at various thicknesses The parametric analysis and single optimization indicate that increasing the dimensions of the elements, excluding the lip depth, will increase the section’s carrying capacity. However, this increase will depend on the coil’s wall thickness. The increase is more rapid in thicker coils than in thinner ones.

Źródło:

International Journal of Applied Mechanics and Engineering; 2022, 27, 4; 52--65
1734-4492
2353-9003

Pojawia się w:

International Journal of Applied Mechanics and Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 84.

Tytuł:

Reactive distillation for multiple-reaction systems: optimisation study using an evolutionary algorithm

Autorzy:

Keller, T.
Dreisewerd, B.
Górak, A.

Powiązania:

https://bibliotekanauki.pl/articles/185082.pdf

Data publikacji:

2013

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

nonequilibrium-stage model
Pareto front
multi-objective optimization
diethyl
carbonate
ethyl methyl carbonate
model równowagi
optymalizacja wielokryterialna
dietyl
węglan
etylo-węglan metylu

Opis:

Reactive distillation (RD) has already demonstrated its potential to significantly increase reactant conversion and the purity of the target product. Our work focuses on the application of RD to reaction systems that feature more than one main reaction. In such multiple-reaction systems, the application of RD would enhance not only the reactant conversion but also the selectivity of the target product. The potential of RD to improve the product selectivity of multiple reaction systems has not yet been fully exploited because of a shortage of available comprehensive experimental and theoretical studies. In the present article, we want to theoretically identify the full potential of RD technology in multiple-reaction systems by performing a detailed optimisation study. An evolutionary algorithm was applied and the obtained results were compared with those of a conventional stirred tank reactor to quantify the potential of RD to improve the target product selectivity of multiple-reaction systems. The consecutive transesterification of dimethyl carbonate with ethanol to form ethyl methyl carbonate and diethyl carbonate was used as a case study.

Źródło:

Chemical and Process Engineering; 2013, 34, 1; 17-38
0208-6425
2300-1925

Pojawia się w:

Chemical and Process Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 85.

Tytuł:

Recent developments in simulation-driven multi-objective design of antennas

Autorzy:

Koziel, S.
Bekasiewicz, A.

Powiązania:

https://bibliotekanauki.pl/articles/201914.pdf

Data publikacji:

2015

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

computer-aided design
CAD
antenna design
multi-objective optimization
surrogate models
evolutionary algorithms
projektowanie wspomagane komputerowo
projektowanie anteny
model zastępczy
algorytmy ewolucyjne

Opis:

This paper addresses computationally feasible multi-objective optimization of antenna structures. We review two recent techniques that utilize the multi-objective evolutionary algorithm (MOEA) working with fast antenna replacement models (surrogates) constructed as Kriging interpolation of coarse-discretization electromagnetic (EM) simulation data. The initial set of Pareto-optimal designs is subsequently refined to elevate it to the high-fidelity EM simulation accuracy. In the first method, this is realized point-by-point through appropriate response correction techniques. In the second method, sparsely sampled high-fidelity simulation data is blended into the surrogate model using Co-kriging. Both methods are illustrated using two design examples: an ultra-wideband (UWB) monocone antenna and a planar Yagi-Uda antenna. Advantages and disadvantages of the methods are also discussed.

Źródło:

Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 3; 781-789
0239-7528

Pojawia się w:

Bulletin of the Polish Academy of Sciences. Technical Sciences

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 86.

Tytuł:

Metoda wspomagania podejmowania decyzji grupowej oparta na optymalizacji wielokryterialnej
A method of collective decision making based on multicriteria optimization

Autorzy:

Łodziński, A.

Powiązania:

https://bibliotekanauki.pl/articles/321050.pdf

Data publikacji:

2014

Wydawca:

Politechnika Śląska. Wydawnictwo Politechniki Śląskiej

Tematy:

decyzja grupowa
optymalizacja wielokryterialna
rozwiązanie symetrycznie efektywne
funkcja skalaryzująca
podejmowanie decyzji grupowej
multi-objective optimization
symmetric-effective result
scalarizing function
decision support systems

Opis:

W artykule przedstawiono metodę podejmowania decyzji grupowej. Decyzja grupowa jest wtedy, gdy grupa osób o odmiennych preferencjach ma podjąć wspólną decyzję. Proces wyboru decyzji grupowej modeluje się za pomocą zadania optymalizacji wielokryterialnej. Zadanie to rozwiązuje się metodą punktu odniesienia. Jest to technika interaktywna, w której każda z osób z grupy określa swoje wymagania w postaci punktu odniesienia, który wyraża pożądane wartości dla jej funkcji oceny. Na podstawie podanych punktów odniesienia konstruowana jest skalarna funkcja osiągnięcia. Maksymalizacja tej funkcji generuje rozwiązanie zadania wielokryterialnego, które jest prezentowane każdej osobie z grupy do akceptacji lub jako podstawa do modyfikacji punktów odniesienia.
This paper presents a method of collective decision-making. Group decision is when a group of people with different preferences is to take a common decision. The selection process of group decision is modeled using a multi-criteria optimization problem. This object is achieved by the reference point method. This method is an interactive technique in which each person in the group determines its requirements as a reference point, which expresses the desired value for the evaluation function. On the basis of these reference points a scalarizing achievement function is constructed. Maximizing this function generates the solution of a multi-criteria task. This solution is presented to each person in the group to accept or as a basis for modifying the reference points.

Źródło:

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2014, 68; 209-219
1641-3466

Pojawia się w:

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 87.

Tytuł:

Fuzzy model of decision making process
Rozmyty model procesu podejmowania decyzji

Autorzy:

Pająk, M.

Powiązania:

https://bibliotekanauki.pl/articles/243961.pdf

Data publikacji:

2008

Wydawca:

Instytut Techniczny Wojsk Lotniczych

Tematy:

logika rozmyta
modelowanie rozmyte
zbiory rozmyte
proces podejmowania decyzji
analiza wielokryterialna
fuzzy logic
fuzzy modelling
fuzzy sets
decision making process
multi-objective analysis

Opis:

Z problemem podejmowania decyzji można spotkać się w wielu dziedzinach ludzkiej aktywności. Podjęcie optymalnej lub suboptymalnej decyzji leży u podstaw wszelkiej działalności zarówno naukowej jak i przemysłowej. Niestety algorytmy pozwalające na automatyzację procesu podejmowania decyzji opracowane są wyłącznie dla niewielkiej grupy problemów charakteryzujących się względna prostotą. Dla zagadnień bardziej złożonych ogólny algorytm podejmowania decyzji nie istnieje. Z tego powodu automatyzacja i komputeryzacja procesu podejmowania decyzji napotyka znaczące trudności. Należy jednak zauważyć, że eksperci z dziedziny problemu są w stanie podjąć decyzję nawet w przypadkach systemów złożonych. Podejmowane decyzje mimo, że wielokrotnie nieoptymalne, pozwalają na rozwiązywanie rzeczywistych problemów z wystarczającą efektywnością. Niestety decyzje podejmowane przez ekspertów posiadają pewne ograniczenia właściwe ludzkiemu rozumowaniu i percepcji ludzkich zmysłów. Dodatkowo jakość podejmowanych decyzji zależy od doświadczenia, wiedzy i dyspozycji eksperta. W celu uniezależnienia procesu podejmowania decyzji od zmiennych czynników ludzkich przydatnym byłoby stworzenie komputerowego systemu wspomagającego analizowany proces. Pierwszym i podstawowy krokiem do stworzenia takiego systemu jest przyjęcie modelu procesu podejmowania decyzji. W opracowaniu zaprezentowano model rozmyty rozważanego procesu. Dzięki zastosowaniu modelu tej klasy możliwe stało się uwzględnienie przybliżonego charakteru rozumowania przeprowadzanego w trakcie procesu. Zastosowanie stworzonego modelu umożliwiło opracowanie oprogramowania wspomagającego proces podejmowania decyzji.
The decision making process is one of the most important and complicated human activity. The process could be met during the analysis of different domains. Unfortunately, the algorithms of decision making are defined only for some kinds of the problems. In more complex and complicated cases the optimal and universal algorithm of decision making doesn't exists. All that reasons limits the possibility of decision making process computerisation. From the other hand the experts of the problem domain makes optimal or suboptimal decision. The quality of the decisions is high enough to drive sometimes very complicated systems with acceptable efficiency. So, it is possible to solve the problem of decision making using the human mind. But the human mind is limited for the number of input data point of view. Additionally the quality of decision depends on the experts' experience, knowledge and mood. Therefore the computerised system to support the decision making process is very wanted. The first step of the computerisation is the considered problem model creation. In the paper the fuzzy model of decision making process is presented. It enables to model the approximate character of the process. Implementation of the model makes the computerisation of the considered issue possible.

Źródło:

Journal of KONES; 2008, 15, 2; 319-328
1231-4005
2354-0133

Pojawia się w:

Journal of KONES

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 88.

Tytuł:

Multiobjective optimization of multipass turning machining process using the Genetic Algorithms solution

Autorzy:

Amiolemhen, Patrick Ejebheare
Eseigbe, Joshua Ahurome

Powiązania:

https://bibliotekanauki.pl/articles/95335.pdf

Data publikacji:

2019

Wydawca:

Politechnika Koszalińska. Wydawnictwo Uczelniane

Tematy:

turning process
genetic algorithms
minimum production cost
minimum production time
single-objective model
multi-objective model
toczenie
proces toczenia
algorytmy genetyczne
minimalny koszt produkcji
minimalny czas produkcji
model wielokryterialny

Opis:

The study involves the development of multi-objective optimization model for turning machining process. This model was developed using a GA - based weighted-sum of minimum production cost and time criteria of multipass turning machining process subject to relevant technological/practical constraints. The results of the single-objective machining process optimization models for the multipass turning machining process when compared with those of multi-objective machining process model yielded the minimum production cost and minimum production time as $5.775 and 8.320 min respectively (and the corresponding production time and production cost as 12.996 min and $6.992, respectively), while those of the multi-objective machining process optimization model were $5.841and 9.097 min. Thus, the multi-objective machining process optimization model performed better than each of the single-objective model for the two criteria of minimum production cost and minimum production time respectively. The results also show that minimum production time model performs better than the minimum production cost model. For the example considered, the multi-objective model gave a lower production time of 30.0% than the corresponding production time obtained from the minimum production cost model, while it gave a lower production cost of 16.46% than the corresponding cost obtained by the minimum production time model.

Źródło:

Journal of Mechanical and Energy Engineering; 2019, 3, 2; 97-108
2544-0780
2544-1671

Pojawia się w:

Journal of Mechanical and Energy Engineering

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 89.

Tytuł:

Handling fuzzy systems’ accuracy-interpretability trade-off by means of multi-objective evolutionary optimization methods – selected problems

Autorzy:

Gorzałczany, M. B.
Rudziński, F.

Powiązania:

https://bibliotekanauki.pl/articles/199824.pdf

Data publikacji:

2015

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

accuracy and interpretability of fuzzy rule-based systems
multi-objective evolutionary optimization
genetic computations
fuzzy systems
dokładność systemów rozmytych
optymalizacja
obliczenia genetyczne
systemy rozmyte

Opis:

The paper addresses several open problems regarding the automatic design of fuzzy rule-based systems (FRBSs) from data using multi-objective evolutionary optimization algorithms (MOEOAs). In particular, we propose: a) new complexity-related interpretability measure, b) efficient strong-fuzzy-partition implementation for improving semantics-related interpretability, c) special-coding-free implementation of rule base and original genetic operators for its processing, and d) implementation of our ideas in the context of well-known MOEOAs such as SPEA2 and NSGA-II. The experiments demonstrate that our approach is an effective tool for handling FRBSs’ accuracy-interpretability trade-off, i.e, designing FRBSs characterized by various levels of such a trade-off (in particular, for designing highly interpretability-oriented systems of still competitive accuracy).

Źródło:

Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 3; 791-798
0239-7528

Pojawia się w:

Bulletin of the Polish Academy of Sciences. Technical Sciences

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 90.

Tytuł:

Methods of universities investment potential improvement

Autorzy:

Vergun, Mykhailo O.

Powiązania:

https://bibliotekanauki.pl/articles/2157547.pdf

Data publikacji:

2014

Wydawca:

Instytut Studiów Międzynarodowych i Edukacji Humanum

Tematy:

higher education establishment
social and economic conditions of market economy
investment potential
factors of the development
multi-objective optimization
fixed assets
sources of financing

Opis:

The current article considers the issues of increasing the efficiency of processes of implementation of the investment potential of universities by optimizing sources of financing, taking into account the features of modern social and economic situation in Ukraine.

Źródło:

Społeczeństwo i Edukacja. Międzynarodowe Studia Humanistyczne; 2014, 3(15); 49-54
1898-0171

Pojawia się w:

Społeczeństwo i Edukacja. Międzynarodowe Studia Humanistyczne

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 91.

Tytuł:

Evolutionary Multi-Objective Pareto Optimisation of Diagnostic State Observers

Autorzy:

Kowalczuk, Z.
Suchomski, P.
Białaszewski, T.

Powiązania:

https://bibliotekanauki.pl/articles/908280.pdf

Data publikacji:

1999

Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Tematy:

diagnostyka
wyodrębnienie i wykrycie błędu
algorytm genetyczny
obserwator stanów
diagnostics
fault detection and isolation
genetic algorithms
multi-objective optimisation
Pareto optimality
residuals
state observers

Opis:

A multi-objective Pareto-optimisation procedure for the design of residual generators which constitute a primary instrument for model-based fault detection and isolation (FDI) in systems of plant monitoring and control is considered. An evolutionary approach to the underlying multi-objective optimisation problem is utilised. The resulting robust observer detector allows for FDI, taking into account the issue of false alarms.

Źródło:

International Journal of Applied Mathematics and Computer Science; 1999, 9, 3; 689-709
1641-876X
2083-8492

Pojawia się w:

International Journal of Applied Mathematics and Computer Science

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 92.

Tytuł:

Niching mechanisms in evolutionary computations

Autorzy:

Kowalczuk, Z.
Białaszewski, T.

Powiązania:

https://bibliotekanauki.pl/articles/908461.pdf

Data publikacji:

2006

Wydawca:

Uniwersytet Zielonogórski. Oficyna Wydawnicza

Tematy:

algorytm genetyczny
projektowanie inżynierskie
obliczenia ewolucyjne
obserwator detekcyjny
niching
ranking
Pareto optimality
genetic algorithms
evolutionary computations
multi-objective optimisation
solutions diversity
engineering designs
detection observers

Opis:

Different types of niching can be used in genetic algorithms (GAs) or evolutionary computations (ECs) to sustain the diversity of the sought optimal solutions and to increase the effectiveness of evolutionary multi-objective optimization solvers. In this paper four schemes of niching are proposed, which are also considered in two versions with respect to the method of invoking: a continuous realization and a periodic one. The characteristics of these mechanisms are discussed, while as their performance and effectiveness are analyzed by considering exemplary multi-objective optimization tasks both of a synthetic and an engineering (FDI) design nature.

Źródło:

International Journal of Applied Mathematics and Computer Science; 2006, 16, 1; 59-84
1641-876X
2083-8492

Pojawia się w:

International Journal of Applied Mathematics and Computer Science

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 93.

Tytuł:

Multi-objective optimization with adjusted PSO method on example of cutting process of hardened 18CrMo4 steel
Optymalizacja wielokryterialna skorygowaną metodą PSO na przykładzie procesu skrawania stali 18CrMo4 w stanie zahartowanym

Autorzy:

Stryczek, R.
Pytlak, B.

Powiązania:

https://bibliotekanauki.pl/articles/1366141.pdf

Data publikacji:

2014

Wydawca:

Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN

Tematy:

toczenie na twardo
metoda optymalizacji wielocząsteczkowej (PSO)
obliczenia ewolucyjne
optymalizacja wielokryterialna
entropia
hard turning
particle swarm optimization (PSO) method
evolutionary computations
multi-objective optimization
entropy

Opis:

W pracy zaproponowano zmodyfikowaną metodę optymalizacji wielocząsteczkowej (PSO) dla problemów optymalizacji wielokryterialnej z dyskretną przestrzenią decyzyjną. W metodzie PSO zmieniono sposób określania momentu bezwładności, współczynnika uczenia oraz współczynnika społecznego. Dodatkowo wprowadzono elitaryzm oraz innowacyjny mechanizm hamowania cząstek chroniący je przed przekraczaniem dopuszczalnych granic przestrzeni decyzyjnej. Zaproponowane podejście zostało zweryfikowane na szeregu aktualnych funkcjach testowych oraz problemie optymalizacji procesu skrawania stali 18CrMo4 w stanie zahartowanym, gdzie porównano je z wynikami uzyskanymi za pomocą algorytmów genetycznych (GA). Uzyskane wyniki wskazują, że zaproponowane podejście jest względnie szybkie i wysoce konkurencyjne w stosunku do innych metod optymalizacji. Autorzy uzyskali bardzo różnorodne, zbieżne i w pełnym zakresie przebiegi frontu Pareto w przestrzeni kryteriów. W celu oceny jakości wygenerowanego zbioru Pareto dla każdego z prezentowanych przykładów wyznaczono ocenę opartą na pomiarze entropii oraz wskaźnika jakości IGD.
In this paper a Modified Particle Swarm Optimization (PSO) method for multi-objective (MO) problems with a discrete decision space is proposed. In the PSO method the procedure to determine inertia weight, learning factor and social factor is modified. In addition, both an elitism strategy and innovative deceleration mechanism preventing the particles from going beyond the limits of decision space are introduced. The proposed approach has been applied to a series of currently used test functions as well as to optimization problems connected with finish hard turning operation, where the obtained results have been compared with those obtained by means of Genetic Algorithms (GA). The results indicate that the proposed approach is relatively quick, and thus it is highly competitive with other optimization methods. The authors have obtained a very good diversity, convergence and a maximum range of the Pareto front in the criteria space. In order to assess the quality of the generated Pareto set for each of presented examples, a rating has been determined based on the entropy measurement and inverted generational distance (IGD).

Źródło:

Eksploatacja i Niezawodność; 2014, 16, 2; 236-245
1507-2711

Pojawia się w:

Eksploatacja i Niezawodność

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 94.

Tytuł:

Comparison of a Perpetual and PD Inventory Control System with Smith Predictor and Different Shipping Delays Using Bicriterial Optimization and SPEA2
Analiza porównawcza systemu sterowania ciągłego oraz z regulatorem PD i predyktorem Smitha dla różnych opóźnień dostaw z zastosowaniem metod optymalizacji dwukryterialnej i SPEA2

Autorzy:

Chołodowicz, E.
Orłowski, P.

Powiązania:

https://bibliotekanauki.pl/articles/275128.pdf

Data publikacji:

2016

Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Tematy:

inventory control systems
optimization
perpetual inventory system
multi-objective optimization
SPEA2
PD control
Smith predictor
inventory
systemy zarządzania zapasami
optymalizacja
optymalizacja wielokryterialna
system sterowania
predyktor Smitha

Opis:

Inventory optimization is critical in inventory control systems. The complexity of real-world inventory systems results in a challenging optimization problem, too complicated to solve by conventional mathematical programing methods. The aim of this work is to confront: a perpetual inventory system found in the literature and inventory system with PD control and Smith predictor proposed by the authors. To be precise, the two control systems for inventory management are analyzed with different shipping delays and compared. With regard to complexity of the proposed control system, we use a SPEA2 algorithm to solve optimization task for assumed scenario of the market demand. The objective is to minimize the inventory holding cost while avoiding shortages. A discrete-time, dynamic model of inventory system is assumed for the analysis. In order to compare the results of systems, Pareto fronts and signal responses are generated.
W pracy przyjęto dyskretny, stacjonarny, dynamiczny model systemu magazynowego ze stałym w czasie opóźnieniem dostaw. Głównym celem jest przeprowadzenie analizy porównawczej dwóch systemów automatycznego sterowania zamówieniami: ciągłego systemu sterowania magazynem z adaptacyjnym poziomem zamówienia (ang. Perpetual Inventory System with adaptive order level) oraz systemu sterowania magazynem z regulatorem proporcjonalno-różniczkującym oraz predyktorem Smitha z adaptacyjnym poziomem referencyjnym zapasów dla trzech różnych opóźnień dostaw. Optymalne nastawy układów regulacji zostały dobrane za pomocą algorytmu ewolucyjnego dla problemów optymalizacji wielokryterialnej: SPEA2 (ang. Strength Pareto Evolutionary Approach). W symulacji uwzględniono dwa kryteria minimalizacji: koszt utrzymania zapasów (ang. Holding Cost) oraz koszt niedoboru zapasu (ang. Shortage Cost). Wyniki badań symulacyjnych zaprezentowano za pomocą wykresów oraz tabel w środowisku MATLAB/Simulink.

Źródło:

Pomiary Automatyka Robotyka; 2016, 20, 3; 5-12
1427-9126

Pojawia się w:

Pomiary Automatyka Robotyka

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 95.

Tytuł:

Multicriteria optimization method of LNG distribution

Autorzy:

Chłopińska, E.
Gucma, M.

Powiązania:

https://bibliotekanauki.pl/articles/117110.pdf

Data publikacji:

2020

Wydawca:

Uniwersytet Morski w Gdyni. Wydział Nawigacyjny

Tematy:

cargo handling
Liquefied Natural Gas (LNG)
Multicriteria Optimization Method
LNG Distribution
Marine Diesel Oil (MDO)
Heavy Fuel Oil (HFO)
Vector Evaluated Genetic Algorithms (VEGA)
Multi-Objective Genetic Algorithm (MOGA)

Opis:

Liquefied Natural Gas (LNG) is considered as a realistic substation of marine fuel in 21 century. Solution of building new engines or converting diesels into gas fueled propulsion meets the stringent international emission regulations. For HFO (heavy fuel oil) or MDO (marine diesel oil) propelled vessels, operation of bunkering is relatively wide known and simple. Its due to the fact that fuel itself doesn’t require high standards of handling. Where for LNG as a fuel its very demanding process – it evaporates and requires either consuming by bunker vessel or reliquefication. Distribution of such bunker is becoming multidimensional problem with time and space constrains. The objective of the article is to review the methods of optimization using genetic algorithms for a model of LNG distribution. In particular, there will be considered methods of solving problems with many boundry criteria whose objective functions are contradictory. Methods used for solving the majority of problems are can prevent the simultaneous optimization of the examined objectives, e.g. the minimisation of costs or distance covered, or the maximisation of profits or efficiency etc. Here the standard genetic algorithms are suitable for solving multi-criteria problems by using functions producing a diversity of results depending on the adopted approach.

Źródło:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 493-497
2083-6473
2083-6481

Pojawia się w:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 96.

Tytuł:

A novel hybrid cuckoo search algorithm for optimization of a line-start PM synchronous motor

Autorzy:

Knypiński, Łukasz

Powiązania:

https://bibliotekanauki.pl/articles/2204509.pdf

Data publikacji:

2023

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

hybrid cuckoo search algorithm
heuristic algorithms
multi-objective optimization
permanent magnet synchronous motor
PMSM
algorytm kukułki hybrydowy
algorytm Cuckoo
algorytm heurystyczny
optymalizacja wielocelowa
silnik synchroniczny z magnesem trwałym

Opis:

The paper presents a novel hybrid cuckoo search (CS) algorithm for the optimization of the line-start permanent magnet synchronous motor (LSPMSM). The hybrid optimization algorithm developed is a merger of the heuristic algorithm with the deterministic Hooke–Jeeves method. The hybrid optimization procedure developed was tested on analytical benchmark functions and the results were compared with the classical cuckoo search algorithm, genetic algorithm, particle swarm algorithm and bat algorithm. The optimization script containing a hybrid algorithm was developed in Delphi Tiburón. The results presented show that the modified method is characterized by better accuracy. The optimization procedure developed is related to a mathematical model of the LSPMSM. The multi-objective compromise function was applied as an optimality criterion. Selected results were presented and discussed.

Źródło:

Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 1; art. no. e144586
0239-7528

Pojawia się w:

Bulletin of the Polish Academy of Sciences. Technical Sciences

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 97.

Tytuł:

O metodzie wyboru strategii w konkurencyjnej grze podwójnej ze znanym celem konkurenta - przypadki AHB i ABH
On the method of choosing strategy in competitive double game with the known goal of the competitor - cases AHB and ABH

Autorzy:

Laskowski, S.

Powiązania:

https://bibliotekanauki.pl/articles/317620.pdf

Data publikacji:

2007

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Tematy:

teoria gier
gry rynkowe
konkurencja
kooperacja
negocjacje
analiza wielokryterialna
wspomaganie decyzji w warunkach ryzyka
game theory
market games
competition
cooperation
negotiation
multi-objective analysis
decision suport under risk

Opis:

Zaprezentowano metodę wyboru strategii w dwuosobowej, sekwencyjnej grze rynkowej, w której gracze są zmuszeni zarówno konkurować, jak i kooperować. Założono obustronną i wzajemną znajomość macierzy wypłat oraz celu, który gracze chcą osiągnąć. Przyjęto, że decyzja o charakterze konkurencyjnym danego gracza poprzedza decyzję o charakterze kooperacji oraz konkurencyjną odpowiedź drugiego gracza. Zaproponowano przykład zastosowania metody w rozwiązaniu problemu wyboru strategii cen detalicznych na lokalnym rynku usług telekomunikacyjnych, w perspektywie konieczności nawiązania współpracy międzyoperatorskiej oraz odpowiedzi na rynku detalicznym konkurencyjnego gracza.
Method of choosing strategy in two persons, sequential market game, when players are forced so to compete as to cooperate was presented. It was assumed that players know their own and the other player pay off matrix as well as the goal that the other aims to realize. The decision of competitive character precedes the cooperative one, and the competitive response of the other player. It was illustrated how the method could be applied by the telecommunication operator in the problem of choosing retail prices on local telecommunications services market, in prospect to necessity of negotiate conditions of interconnection agreement (wholesale decision) with the other player and to possible it's response on retail market.

Źródło:

Telekomunikacja i Techniki Informacyjne; 2007, 1-2; 50-71
1640-1549
1899-8933

Pojawia się w:

Telekomunikacja i Techniki Informacyjne

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 98.

Tytuł:

Generalized route planning approach for hazardous materials transportation with equity consideration

Autorzy:

Chai, H.
He, R.-C.
Jia, X.-yan
Ma, Ch.-x
Dai, C.-jie

Powiązania:

https://bibliotekanauki.pl/articles/223759.pdf

Data publikacji:

2018

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

hazardous materials transportation
transportation
route optimization
risk equity
multi-objective optimization
NSGA-II algorithm
genetic algorithm
transport materiałów niebezpiecznych
materiały niebezpieczne
optymalizacja trasy
kapitał własny
optymalizacja wielokryterialna
algorytm NSGA-II
algorytm genetyczny

Opis:

Hazardous materials transportation should consider risk equity and transportation risk and cost. In the hazardous materials transportation process, we consider risk equity as an important condition in optimizing vehicle routing for the long-term transport of hazardous materials between single or multiple origin-destination pairs (O-D) to reduce the distribution difference of hazardous materials transportation risk over populated areas. First, a risk equity evaluation scheme is proposed to reflect the risk difference among the areas. The evaluation scheme uses standard deviation to measure the risk differences among populated areas. Second, a risk distribution equity model is proposed to decrease the risk difference among populated areas by adjusting the path frequency between O-D pairs for hazardous materials transportation. The model is converted into two sub models to facilitate decision-making, and an algorithm is provided for each sub model. Finally, we design a numerical example to verify the accuracy and rationality of the model and algorithm. The numerical example shows that the proposed model is essential and feasible for reducing the complexity and increasing the portability of the transportation process.

Źródło:

Archives of Transport; 2018, 46, 2; 33-46
0866-9546
2300-8830

Pojawia się w:

Archives of Transport

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 99.

Tytuł:

Multi-objective optimization of PCM-fin structure for staggered Li-ion battery packs

Autorzy:

Qiu, Chenghui
Wu, Chongtian
Yuan, Xiaolu
Wu, Linxu
Yang, Jiaming
Shi, Hong

Powiązania:

https://bibliotekanauki.pl/articles/27311457.pdf

Data publikacji:

2023

Wydawca:

Polska Akademia Nauk. Czasopisma i Monografie PAN

Tematy:

staggered arrangement
phase change material
fin
multi-objective optimization
thermal management
entropy weight
TOPSIS method
technique for order of preference by similarity to ideal solution
układ naprzemienny
materiał o przemianie fazowej
materiał zmieniający fazę
płetwa
optymalizacja wielocelowa
optymalizacja wieloobiektowa
zarządzanie ciepłem
entropia wagi
metoda TOPSIS
technika porządkowania preferencji według podobieństwa do idealnego rozwiązania

Opis:

Endurance capability is a key indicator to evaluate the performance of electric vehicles. Improving the energy density of battery packs in a limited space while ensuring the safety of the vehicle is one of the currently used technological solutions. Accordingly, a small space and high energy density battery arrangement scheme is proposed in this paper. The comprehensive performance of two battery packs based on the same volume and different space arrangements is compared. Further, based on the same thermal management system (PCM-fin system), the thermal performance of staggered battery packs with high energy density is numerically simulated with different fin structures, and the optimal fin structure parameters for staggered battery packs at a 3C discharge rate are determined using the entropy weight-TOPSIS method. The result reveals that increasing the contact thickness between the fin and the battery (X) can reduce the maximum temperature, but weaken temperature homogeneity. Moreover, the change of fin width (A) has no significant effect on the heat dissipation performance of the battery pack. Entropy weight-TOPSIS method objectively assigns weights to both maximum temperature (Tmax) and temperature difference (DT) and determines the optimal solution for the cooling system fin parameters. It is found that when X = 0:67 mm, A = 0:6 mm, the staggered battery pack holds the best comprehensive performance.

Źródło:

Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e145677
0239-7528

Pojawia się w:

Bulletin of the Polish Academy of Sciences. Technical Sciences

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce

Skocz do pozycji: 100.

Tytuł:

Towards a distributed solution to multi-robot task allocation problem with energetic and spatiotemporal constraints

Autorzy:

Zitouni, Farouq
Harous, Saad
Maamri, Ramdane

Powiązania:

https://bibliotekanauki.pl/articles/305365.pdf

Data publikacji:

2020

Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Tematy:

multi-robot systems
multi-robot task allocation
energetic constraints
spatial constraints
temporal constraints
objective function
parallel distributed guided genetic algorithms

Opis:

This paper tackles the Multi-Robot Task Allocation problem. It consists of two distinct sets: a set of tasks (requiring resources), and a set of robots (offering resources). Then, the tasks are allocated to robots while optimizing a certain objective function subject to some constraints; e.g., allocating the maximum number of tasks, minimizing the distances traveled by the robots, etc. Previous works mainly optimized the temporal and spatial constraints, but no work focused on energetic constraints. Our main contribution is the introduction of energetic constraints on multi-robot task allocation problems. In addition, we propose an allocation method based on parallel distributed guided genetic algorithms and compare it to two state-of-the-art algorithms. The performed simulations and obtained results show the effectiveness and scalability of our solution, even in the case of a large number of robots and tasks. We believe that our contribution is applicable in many contemporary areas of research such as smart cities and related topics.

Źródło:

Computer Science; 2020, 21 (1); 3-24
1508-2806
2300-7036

Pojawia się w:

Computer Science

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

Zmień widok

• na półce