A new multi-objective optimization algorithm combined with opposition-based learning

•A new multi-objective optimization method used OBL strategy, WOA and DE algorithms•It combines DE and the OBL to improve the performance of the WOA•The MWDEO results outperformed all other algorithms in most of the test problems•32 multi-objective test problems are used in the experiments and CEC20...

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Veröffentlicht in:	Expert systems with applications Jg. 165; S. 113844
Hauptverfasser:	Ewees, Ahmed A., Abd Elaziz, Mohamed, Oliva, Diego
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.03.2021 Elsevier BV
Schlagworte:	Differential evolution Evolutionary algorithms Evolutionary computation Machine learning Multi-objective optimization Multiple objective analysis Opposition-based learning Optimization algorithms Pareto optimization Whale optimization algorithm Differential evolution Multi-objective optimization Whale optimization algorithm Opposition-based learning
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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