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...

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Bibliographic Details

Published in:	Applied soft computing Vol. 107; p. 107258
Main Authors:	Guerrero-Peña, Elaine, Araújo, Aluizio F.R.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2021
Subjects:	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 Access:	Get full text
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