Temat: multi-objective - Katalog OPAC zbiorów

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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