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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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 60; p. 100759
Main Authors:	Pan, Linqiang, Xu, Wenting, Li, Lianghao, He, Cheng, Cheng, Ran
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.2021
Subjects:	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 Access:	Get full text
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