Knowledge guided Bayesian classification for dynamic multi-objective optimization

Dynamic multi-objective optimization problems (DMOPs) typically contain multiple conflicting objectives that vary over time, requiring the optimization algorithms to quickly track the changing Pareto-optimal solutions (POS). Recently, prediction-based dynamic multi-objective evolutionary algorithms...

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Veröffentlicht in:	Knowledge-based systems Jg. 250; S. 109173
Hauptverfasser:	Ye, Yulong, Li, Lingjie, Lin, Qiuzhen, Wong, Ka-Chun, Li, Jianqiang, Ming, Zhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 17.08.2022
Schlagworte:	Cluster algorithm Dynamic multi-objective optimization Evolutionary algorithm Naive Bayesian classification Naive Bayesian classification Cluster algorithm Dynamic multi-objective optimization Evolutionary algorithm
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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