Adaptive simulated binary crossover for rotated multi-objective optimization

•A rotated simulated binary crossover operator is tailored for solving multi-objective optimization problems with rotated Pareto sets.•An adaptive selection strategy is proposed to make use of both SBX and its rotated version for enhancing the effectiveness of conventional evolutionary algorithms in...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 60; S. 100759
Hauptverfasser:	Pan, Linqiang, Xu, Wenting, Li, Lianghao, He, Cheng, Cheng, Ran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2021
Schlagworte:	Crossover operator Evolutionary algorithm Multi-objective optimization Rotated problem Variable linkage Variable linkage Rotated problem Multi-objective optimization Crossover operator Evolutionary algorithm
ISSN:	2210-6502
Online-Zugang:	Volltext
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