A multi-objective particle swarm optimization algorithm based on two-archive mechanism

As a powerful optimization technique, multi-objective particle swarm optimization algorithms have been widely used in various fields. However, performing well in terms of convergence and diversity simultaneously is still a challenging task for most existing algorithms. In this paper, a multi-objecti...

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Vydané v:	Applied soft computing Ročník 119; s. 108532
Hlavní autori:	Cui, Yingying, Meng, Xi, Qiao, Junfei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.04.2022
Predmet:	Evolutionary information Genetic operator Multi-objective particle swarm optimization Two-archive mechanism Multi-objective particle swarm optimization Evolutionary information Genetic operator Two-archive mechanism
ISSN:	1568-4946, 1872-9681
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