DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems

The aim of this paper is to show how the hybridization of a multi-objective evolutionary algorithm (MOEA) and a local search method based on the use of rough set theory is a viable alternative to obtain a robust algorithm able to solve difficult constrained multi-objective optimization problems at a...

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Veröffentlicht in:	Computers & operations research Jg. 37; H. 3; S. 470 - 480
Hauptverfasser:	Santana-Quintero, Luis V., Hernández-Díaz, Alfredo G., Molina, Julián, Coello Coello, Carlos A., Caballero, Rafael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.03.2010 Pergamon Press Inc
Schlagworte:	Algorithms Approximation Differential evolution Genetic algorithms Hybrid algorithms Multi-objective optimization Optimization Optimization algorithms Pareto optimum Rough set theory Set theory Studies Differential evolution Hybrid algorithms Rough set theory Multi-objective optimization
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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