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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Bibliographic Details
Published inApplied soft computing Vol. 119; p. 108532
Main Authors Cui, Yingying, Meng, Xi, Qiao, Junfei
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2022
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