Dynamic multi-objective evolutionary algorithm based on knowledge transfer

Dynamic multi-objective optimization problems (DMOPs) are mainly reflected in objective changes with changes in the environment. To solve DMOPs, a transfer learning (TL) approach is used, which can continuously adapt to environmental changes and reuse valuable knowledge from the past. However, if al...

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Veröffentlicht in:	Information sciences Jg. 636; S. 118886
Hauptverfasser:	Wu, Linjie, Wu, Di, Zhao, Tianhao, Cai, Xingjuan, Xie, Liping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.07.2023
Schlagworte:	Dynamic multi-objective optimization Knowledge transfer Manifold transfer learning Predictive model Dynamic multi-objective optimization Knowledge transfer Predictive model Manifold transfer learning
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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