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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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