Adaptive decomposition-based evolutionary algorithm for many-objective optimization with two-stage dual-density judgment

In order to better balance the convergence and diversity of MOEA/D for many objective optimization problems (MaOPs) with various Pareto fronts (PFs), an adaptive decomposition-based evolutionary algorithm for MaOPs with two-stage dual-density judgment is proposed. To solve the problem that weighted...

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Vydané v:	Applied soft computing Ročník 167; s. 112434
Hlavní autori:	Sun, Yongjun, Liu, Jiaqi, Liu, Zujun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024
Predmet:	Adaptive weight vector adjustment Dual-density judgment Many-objective optimization Two-stage strategy Dual-density judgment Adaptive weight vector adjustment Many-objective optimization Two-stage strategy
ISSN:	1568-4946
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