A dynamic multi-objective evolutionary algorithm based on two-stage dimensionality reduction and a region Gauss adaptation prediction strategy

Dynamic multi-objective optimization evolutionary algorithms (DMOEAs) have attracted increasing attention due to their superior performance in real-world applications. It is challenging to rapidly track the changing Pareto set (PS) and Pareto front (PF) in DMOEAs. However, most existing studies only...

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Veröffentlicht in:	Applied soft computing Jg. 142; S. 110333
Hauptverfasser:	Yang, Yue, Ma, Yongjie, Wang, Peidi, Xu, Yang, Wang, Minghao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2023
Schlagworte:	Dynamic multi-objective optimization Evolutionary algorithm Prediction Region Gauss adaptation Two-stage dimensionality reduction Two-stage dimensionality reduction Dynamic multi-objective optimization Evolutionary algorithm Prediction Region Gauss adaptation
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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