Penalty and prediction methods for dynamic constrained multi-objective optimization

•Novel penalty and prediction methods based on MOEA named NDCMOEA are proposed.•A new penalty function for constraint handling is introduced.•An IGPM predictor is applied to predict an initial population when a change occurs.•NDCMOEA is very competitive at tracking the changing POS. Dynamic constrai...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 80; S. 101317
Hauptverfasser:	Wang, Fengxia, Huang, Min, Yang, Shengxiang, Wang, Xingwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2023
Schlagworte:	Dynamic constrained multi-objective optimization problems Inverse Gaussian process model Penalty function Test instances Test instances Penalty function Inverse Gaussian process model Dynamic constrained multi-objective optimization problems
ISSN:	2210-6502
Online-Zugang:	Volltext
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