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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Vydané v:	Swarm and evolutionary computation Ročník 88; s. 101601
Hlavní autori:	Xu, Ying, Li, Fusen, Zhang, Huan, Li, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.07.2024
Predmet:	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
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