Water cycle algorithm for solving constrained multi-objective optimization problems

•Multi-objective water cycle algorithm (MOWCA) is proposed for solving constrained and engineering multi-objective problems.•Generational distance, metric of spread, and Δ metric are used as performance criteria.•Optimal Pareto fronts are finely covered by the MOWCA with a good distribution of the n...

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Veröffentlicht in:	Applied soft computing Jg. 27; S. 279 - 298
Hauptverfasser:	Sadollah, Ali, Eskandar, Hadi, Kim, Joong Hoon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2015
Schlagworte:	Benchmark function Constrained optimization Metaheuristics Multi-objective optimization Pareto optimal solutions Water cycle algorithm Pareto optimal solutions Water cycle algorithm Benchmark function Multi-objective optimization Metaheuristics Constrained optimization
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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