Dynamic multi-objective evolutionary algorithm with objective space prediction strategy

To solve dynamic multi-objective optimization problems, a dynamic multi-objective evolutionary algorithm (DMOEA) must be able to deal with the dynamics of the environment, and such modifications can lead to new optimal solutions over time. Various algorithms have been proposed that modify the way a...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Applied soft computing Jg. 107; S. 107258
Hauptverfasser:	Guerrero-Peña, Elaine, Araújo, Aluizio F.R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2021
Schlagworte:	Dynamic multi-objective optimization Evolutionary computation Forecast Prediction-based methods Probabilistic modeling Prediction-based methods Probabilistic modeling Dynamic multi-objective optimization Evolutionary computation Forecast
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!