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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Bibliographic Details

Published in:	Information sciences Vol. 636; p. 118886
Main Authors:	Wu, Linjie, Wu, Di, Zhao, Tianhao, Cai, Xingjuan, Xie, Liping
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.07.2023
Subjects:	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 Access:	Get full text
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