A survey of decomposition approaches in multiobjective evolutionary algorithms

Since the multiobjective evolutionary algorithm based on decomposition (MOEA/D) was proposed by Zhang and Li in 2007, this interesting framework has attracted a considerable attention from researchers. In MOEA/D, a multiobjective optimization problem is decomposed into a series of aggregated subprob...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 408; S. 308 - 330
Hauptverfasser:	Wang, Jia, Su, Yuchao, Lin, Qiuzhen, Ma, Lijia, Gong, Dunwei, Li, Jianqiang, Ming, Zhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 30.09.2020
Schlagworte:	Decomposition approach Evolutionary algorithm Multiobjective optimization Multiobjective optimization Evolutionary algorithm Decomposition approach
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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