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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Vydáno v:	Swarm and evolutionary computation Ročník 60; s. 100759
Hlavní autoři:	Pan, Linqiang, Xu, Wenting, Li, Lianghao, He, Cheng, Cheng, Ran
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.02.2021
Témata:	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
On-line přístup:	Získat plný text
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