A simple and efficient real-coded genetic algorithm for constrained optimization

•A novel and efficient RCGA for constrained optimization has been proposed.•The proposed RCGA integrates three effective and novel evolutionary operators named RS, DBX and DRM.•The proposed RCGA is proven to have a small complexity index and outperform many state-of-the-art algorithms.•The proposed...

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Veröffentlicht in:	Applied soft computing Jg. 38; S. 87 - 105
Hauptverfasser:	Chuang, Yao-Chen, Chen, Chyi-Tsong, Hwang, Chyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2016
Schlagworte:	Constrained optimization Crossover operator Evolutionary algorithms Penalty functions Real-coded genetic algorithm Penalty functions Evolutionary algorithms Real-coded genetic algorithm Crossover operator Constrained optimization
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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