An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation

The performance of evolutionary algorithms using reference vectors to guide the evolution process mainly depends on the adaptive reference vector update strategy. In order to solve the challenging many-objective optimization problems with irregular Pareto fronts, this paper proposes an adaptive refe...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 88; S. 101601
Hauptverfasser:	Xu, Ying, Li, Fusen, Zhang, Huan, Li, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2024
Schlagworte:	Evolutionary algorithm Many-objective evolutionary algorithm Many-objective optimization Multi-objective optimization Many-objective evolutionary algorithm Multi-objective optimization Many-objective optimization Evolutionary algorithm
ISSN:	2210-6502
Online-Zugang:	Volltext
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