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Tytuł:
Multiobjective and multiscale optimization of composite materials by means of evolutionary computations
Autorzy:
Beluch, W.
Długosz, A.
Powiązania:
https://bibliotekanauki.pl/articles/280584.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
composite
numerical homogenization
multiobjective optimization
evolutionary algorithm
Opis:
The paper deals with the multiobjective and multiscale optimization of heterogeneous structures by means of computational intelligence methods. The aim of the paper is to find optimal properties of composite structures in a macro scale modifying their microstructure. At least two contradictory optimization criteria are considered simultaneously. A numerical homogenization concept with a representative volume element is applied to obtain equivalent macro-scale elastic constants. An in-house multiobjective evolutionary algorithm MOOPTIM is applied to solve the considered optimization tasks. The finite element method is used to solve the boundary-value problem in both scales. A numerical example is attached.
Źródło:
Journal of Theoretical and Applied Mechanics; 2016, 54, 2; 397-409
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hierarchical Multiobjective Routing Model in MPLS Networks with Two Service Classes - A Comparison Case Study
Autorzy:
Girao-Silva, R.
Craveirinha, J.
Clímaco, J.
Powiązania:
https://bibliotekanauki.pl/articles/309205.pdf
Data publikacji:
2012
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
multiobjective optimization
routing models
simulation
telecommunication networks
Opis:
A two-level hierarchical multicriteria routing model for multiprotocol label switching networks with two service classes (QoS, i.e., with quality of service requirements, and best effort services) and alternative routing is reviewed in this paper. A heuristic resolution approach, where nondominated solutions are obtained throughout the heuristic run and kept in an archive for further analysis is also reviewed. In this paper, an extensive analysis of the application of this procedure to two reference test networks for various traffic matrices is presented. Also a comparison of the results of our method with a lexicographic optimization approach based on a multicommodity flow formulation using virtual networks is carried out. Finally, results of a stochastic discrete event simulation model developed for these networks will be shown to illustrate the effectiveness of the resolution approach and to assess the inaccuracies of the analytic results.
Źródło:
Journal of Telecommunications and Information Technology; 2012, 2; 29-42
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Interactive evolutionary multiobjective optimization driven by robust ordinal regression
Autorzy:
Branke, J.
Greco, S.
Słowiński, R.
Zielniewicz, P.
Powiązania:
https://bibliotekanauki.pl/articles/200702.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
evolutionary multiobjective optimization
interactive procedure
robust ordinal regression
Opis:
This paper presents the Necessary-preference-enhanced Evolutionary Multiobjective Optimizer (NEMO), which combines an evolutionary multiobjective optimization with robust ordinal regression within an interactive procedure. In the course of NEMO, the decision maker is asked to express preferences by simply comparing some pairs of solutions in the current population. The whole set of additive value functions compatible with this preference information is used within a properly modified version of the evolutionary multiobjective optimization technique NSGA-II in order to focus the search towards solutions satisfying the preferences of the decision maker. This allows to speed up convergence to the most preferred region of the Pareto-front.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2010, 58, 3; 347-358
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multiobjective global optimization of mechanical systems with cracks
Autorzy:
Beluch, Witold
Dlugosz, Adam
Powiązania:
https://bibliotekanauki.pl/articles/1839645.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
multiobjective optimization
crack
dual BEM
NURBS
Pareto front
Opis:
The paper is devoted to the multiobjective shape optimization of cracked structures. The two main goals are: reduction of the negative crack influence of identified cracks and optimal design of structural elements to reduce the risk of crack occurrence and growth. NURBS (Non-Uniform Rational B-Splines) curves are used to model the structure boundaries. Global optimization methods in the form of evolutionary algorithms are employed. As different optimization criteria are considered simultaneously, the efficient multiobjective optimization method are applied. An in-house multiobjective evolutionary algorithm is proposed as an efficient optimization tool. The dual boundary element method is used to solve the boundaryvalue problem.
Źródło:
Journal of Theoretical and Applied Mechanics; 2020, 58, 2; 553-564
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Recognizing Sets in Evolutionary Multiobjective Optimization
Autorzy:
Gajda-Zagórska, E.
Powiązania:
https://bibliotekanauki.pl/articles/308467.pdf
Data publikacji:
2012
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
basin of attraction
clustering
genetic algorithm
multiobjective optimization
Opis:
Among Evolutionary Multiobjective Optimization Algorithms (EMOA) there are many which find only Paretooptimal solutions. These may not be enough in case of multimodal problems and non-connected Pareto fronts, where more information about the shape of the landscape is required. We propose a Multiobjective Clustered Evolutionary Strategy (MCES) which combines a hierarchic genetic algorithm consisting of multiple populations with EMOA rank selection. In the next stage, the genetic sample is clustered to recognize regions with high density of individuals. These regions are occupied by solutions from the neighborhood of the Pareto set. We discuss genetic algorithms with heuristic and the concept of well-tuning which allows for theoretical verification of the presented strategy. Numerical results begin with one example of clustering in a single-objective benchmark problem. Afterwards, we give an illustration of the EMOA rank selection in a simple two-criteria minimization problem and provide results of the simulation of MCES for multimodal, multi-connected example. The strategy copes with multimodal problems without losing local solutions and gives better insight into the shape of the evolutionary landscape. What is more, the stability of solutions in MCES may be analyzed analytically.
Źródło:
Journal of Telecommunications and Information Technology; 2012, 1; 74-82
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neutrosophic compromise programming approach for multiobjective nonlinear transportation problem with supply and demand following the exponential distribution
Autorzy:
Adhami, Ahmad Yusuf
Faizan, Mohd
M, Anas
Powiązania:
https://bibliotekanauki.pl/articles/2175845.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
fuzzy approach
multiobjective optimization
supply chain
transportation
uncertainty
Opis:
Decision-making is a tedious and complex process. In the present competitive scenario, any incorrect decision may excessively harm an organization. Therefore, the parameters involved in the decision-making process should be looked into carefully as they may not always be of a deterministic nature. In the present study, a multiobjective nonlinear transportation problem is formulated, wherein the parameters involved in the objective functions are assumed to be fuzzy and both supply and demand are stochastic. Supply and demand are assumed to follow the exponential distribution. After converting the problem into an equivalent deterministic form, the multiobjective problem is solved using a neutrosophic compromise programming approach. A comparative study indicates that the proposed approach provides the best compromise solution, which is significantly better than the one obtained using the fuzzy programming approach.
Źródło:
Operations Research and Decisions; 2022, 32, 3; 1--15
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multiobjective FEM based optimization of BLDC motor using Matlab and Maxwell scripting capabilities
Autorzy:
Caramia, R.
Piotuch, R.
Pałka, R.
Powiązania:
https://bibliotekanauki.pl/articles/141420.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
permanent magnets excited electrical machines
multiobjective optimization
Pareto Front
Opis:
The paper presents a methodology for the optimization of a Brushless Direct Current motor (BLDC). In particular it is focused on multiobjective optimization using a genetic algorithm (GA) developed in Matlab/Optimization Toolbox coupled with Maxwell from ANSYS. Optimization process was divided into two steps. The aim of the first one was to maximize the RMS torque value and to minimize the mass. The second part of the optimization process was to minimize the cogging torque by selecting proper magnet angle. The paper presents the methodology and capabilities of scripting methods rather than specific optimization results for the applied geometry.
Źródło:
Archives of Electrical Engineering; 2014, 63, 1; 115-124
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Weak sharp minima in multiobjective optimization
Autorzy:
Studniarski, M.
Powiązania:
https://bibliotekanauki.pl/articles/970933.pdf
Data publikacji:
2007
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
weak psi-sharp Pareto minima
nonsmooth functions
multiobjective optimization
Opis:
We extend some necessary and sufficient conditions for strict local Pareto minima of order m obtained by Jiménez (2002) to the case of weak ψ-sharp local Pareto minima, i.e., to the case when the local solution is not necessarily unique.
Źródło:
Control and Cybernetics; 2007, 36, 4; 925-937
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hierarchical Multiobjective Routing in MPLS Networks with Two Service Classes - A Meta-Heuristic Solution
Autorzy:
Girao-Silva, R.
Craveirinha, J.
Clímaco, J.
Powiązania:
https://bibliotekanauki.pl/articles/308908.pdf
Data publikacji:
2009
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
multiobjective optimization
MPLS-Internet
routing models
simulated annealing
tabu search
Opis:
The paper begins by reviewing a two-level hierarchical multicriteria routing model for MPLS networks with two service classes (QoS and BE services) and alternative routing, as well as the foundations of a heuristic resolution approach, previously proposed by the authors. Afterwards a new approach, of meta-heuristic nature, based on the introduction of simulated annealing and tabu search techniques, in the structure of the dedicated heuristic, is described. The application of the developed procedures to a benchmarking case study will show that, in certain initial conditions, this approach provides improvements in the final results especially in more "difficult" situations detected through sensitivity analysis.
Źródło:
Journal of Telecommunications and Information Technology; 2009, 3; 20-37
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
O korzyściach z optymalizacji budynków mieszkalnych
The optimization of the dwelling-house- the advantages
Autorzy:
Jędrzejuk, H.
Marks, W.
Powiązania:
https://bibliotekanauki.pl/articles/363054.pdf
Data publikacji:
2007
Wydawca:
Instytut Fizyki Budowli Katarzyna i Piotr Klemm
Tematy:
budynki mieszkalne
optymalizacja wielokryterialna
rozwiązanie preferowane
apartment building
multiobjective optimization
Opis:
Przedmiotem pracy jest pokazanie korzyści, jakie mogą być uzyskane w wyniki optymalizacji budynków mieszkalnych w osiedlach na podstawie następujących kryteriów: minimum kosztów budowy obejmujących: koszty materiałów i wzniesienia przegród zewnętrznych budynków, oraz koszty instalacji i urządzeń grzewczych minimum rocznych kosztów nośników energii, minimum zanieczyszczeń stałych i gazowych. Przyjmując jako punkt odniesienia istniejące osiedle w Warszawie zoptymalizowano poszczególne budynki analizując zapotrzebowanie na ciepło w sezonie grzewczym.
The subject of the paper concerns the problem of optimization of a housing estate on the basis of the following criteria: minimum of construction cost, minimum of the annual consumption of heat energy, minimum of pollution emitted by heat sources installed in the building. Taking an existing hous- ing development in Warsaw as reference point, the individual buildings were optimized to show the advantages of using multilevel optimization in the design process.
Źródło:
Fizyka Budowli w Teorii i Praktyce; 2007, T. 2; 109-112
1734-4891
Pojawia się w:
Fizyka Budowli w Teorii i Praktyce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Variational principles for set-valued mappings with applications to multiobjective optimization
Autorzy:
Bao, T. Q.
Mordukhovich, B. S.
Powiązania:
https://bibliotekanauki.pl/articles/970283.pdf
Data publikacji:
2007
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
multiobjective optimization
variational principles
generalized differentiation
necessary optimality and suboptimality conditions
Opis:
This paper primarily concerns the study of general classes of constrained multiobjective optimization problems (including those described via set-valued and vector-valued cost mappings) from the viewpoint of modern variational analysis and generalized differentiation. To proceed, we first establish two variational principles for set-valued mappings, which-being certainly of independent interest-are mainly motivated by applications to multiobjective optimization problems considered in this paper. The first variational principle is a set-valued counterpart of the seminal derivative-free Ekeland variational principle, while the second one is a set-valued extension of the subdifferential principle by Mordukhovich and Wang, formulated via an appropriate subdifferential notion for set-valued mappings with values in partially ordered spaces. Based on these variational principles and corresponding tools of generalized differentiation, we derive new conditions of the coercivity and Palais-Smale types ensuring the existence of optimal solutions to set-valued optimization problems with noncompact feasible sets in infinite dimensions and then obtain necessary optimality and suboptimality conditions for nonsmooth multiobjective optimization problems with general constraints, which are new in both finite-dimensional and infinite-dimensional settings.
Źródło:
Control and Cybernetics; 2007, 36, 3; 531-562
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Experiments concerning hashing in the multiobjective tabu search method TAMOCO
Autorzy:
Hansen, M.
Powiązania:
https://bibliotekanauki.pl/articles/206866.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
hashing
multiobjective combinatorial optimization (MOCO)
tabu search
Opis:
This paper examines the use of hashing in the multiobjective tabu search, TAMOCO. The hasliing method was suggested by Woodruff and Zemel (1993) as a method of avoiding return to the already examined solutions in the standard single-objective tabu search. While the traditional tabu list is capable of insuring this, it can normally only be used for cycles of a moderate length. The hashing method, however, can efficiently avoid cycles over a much larger number of iterations and must be considered a natural component in the tabu search tool-box. We report from two experiments on practical models where the hashing component has been included into the TAMOCO-procedure ; with two different outcomes.
Źródło:
Control and Cybernetics; 2000, 29, 3; 789-798
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Necessary optimality conditions for robust nonsmooth multiobjective optimization problems
Autorzy:
Gadhi, Nazih Abderrazzak
Ohda, Mohamed
Powiązania:
https://bibliotekanauki.pl/articles/2183482.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
convexificator
directional constraint qualification
efficient solution
optimality conditions
robust multiobjective optimization
Opis:
This paper deals with a robust multiobjective optimization problem involving nonsmooth/nonconvex real-valued functions. Under an appropriate constraint qualification, we establish necessary optimality conditions for weakly robust efficient solutions of the considered problem. These optimality conditions are presented in terms of Karush-Kuhn-Tucker multipliers and convexificators of the related functions. Examples illustrating our findings are also given.
Źródło:
Control and Cybernetics; 2022, 51, 3; 289--302
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multiobjective shape optimization of selected coupled problems by means of evolutionary algorithms
Autorzy:
Długosz, A.
Burczyński, T.
Powiązania:
https://bibliotekanauki.pl/articles/202348.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multiobjective optimization
evolutionary algorithms
multiphysics
coupled field problems
finite element method
Opis:
In present paper an improved multi-objective evolutionary algorithm is used for Pareto optimization of selected coupled problems. Coupling of mechanical, electrical and thermal fields is considered. Boundary-value problems of the thermo-elasticity, piezoelectricity and electro-thermo-elasticity are solved by means of finite element method (FEM). Ansys Multiphysics and MSC.Mentat/Marc software are used to solve considered coupled problems. Suitable interfaces between optimization tool and the FEM software are created. Different types of functionals are formulated on the basis of results obtained from the coupled field analysis. Functionals depending on the area or volume of the structure are also proposed. Parametric curves NURBS are used to model some optimized structures. Numerical examples for exemplary three-objective optimization are presented in the paper.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 2; 215-222
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Interactive multi-objective optimization for simulated moving bed processes
Autorzy:
Hakanen, J.
Kawajiri, Y.
Miettinen, K.
Biegler, L. T.
Powiązania:
https://bibliotekanauki.pl/articles/970406.pdf
Data publikacji:
2007
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
multiobjective optimization
interactive methods
Nimbus
interior point optimization
IPOPT
simulated moving bed processes
Opis:
In this paper, efficient optimization techniques are used to solve multi-objective optimization problems arising from Simulated Moving Bed (8MB) processes. SMBs are widely used in many industrial separations of chemical products and they are very challenging from the optimization point of view. With the help of interactive multi-objective optimization, several conflicting objectives can be considered simultaneously without making unnecessary simplifications, as it has been done in previous studies. The optimization techniques used are the interactive NIMBUS™ method and the IPOPT optimizer. To demonstrate the usefulness of these techniques, the results of solving an 8MB optimization problem with four objectives are reported.
Źródło:
Control and Cybernetics; 2007, 36, 2; 283-302
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 31

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