A new PSO-based algorithm for multi-objective optimization with continuous and discrete design variables

This paper presents a new multi-objective optimization algorithm called FC-MOPSO for optimal design of engineering problems with a small number of function evaluations. The proposed algorithm expands the main idea of the single-objective particle swarm optimization (PSO) algorithm to deal with const...

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Veröffentlicht in:	Structural and multidisciplinary optimization Jg. 57; H. 2; S. 509 - 533
Hauptverfasser:	Mokarram, Vahid, Banan, Mohammad Reza
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2018 Springer Nature B.V
Schlagworte:	Algorithms Computational Mathematics and Numerical Analysis Continuity (mathematics) Design engineering Design optimization Engineering Engineering Design Mopping Multiple objective analysis Particle swarm optimization Research Paper Theoretical and Applied Mechanics Structural optimization Particle swarm optimization Multi-objective optimization
ISSN:	1615-147X, 1615-1488
Online-Zugang:	Volltext
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