Balancing convergence and diversity in resource allocation strategy for decomposition-based multi-objective evolutionary algorithm

Decomposition-based multi-objective evolutionary algorithm decomposes a multi-objective optimization problem into a set of scalar subproblems and then optimizes them simultaneously. However, it does not take into account that subproblems of different difficulties need unequal computing resources. Th...

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Veröffentlicht in:	Applied soft computing Jg. 100; S. 106968
Hauptverfasser:	Wang, Liping, Pan, Xiaotian, Shen, Xiao, Zhao, Peipei, Qiu, Qicang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2021
Schlagworte:	Accumulated escape probability Dynamic resource allocation Multi-objective evolutionary Subproblem evolvability Dynamic resource allocation Multi-objective evolutionary Accumulated escape probability Subproblem evolvability
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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