An ensemble learning based prediction strategy for dynamic multi-objective optimization

Prediction strategies are widely-used in dynamic multi-objective evolutionary algorithms (DMOEAs). However, the characteristics of the environmental changes are different and only use one single prediction model cannot react to the changes effectively. The mismatching of the changes and prediction m...

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Veröffentlicht in:	Applied soft computing Jg. 96; S. 106592
Hauptverfasser:	Wang, Feng, Li, Yixuan, Liao, Fanshu, Yan, Hongyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2020
Schlagworte:	Dynamic multi-objective evolutionary algorithm Ensemble learning Prediction strategy Ensemble learning Prediction strategy Dynamic multi-objective evolutionary algorithm
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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