A reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation

Maintaining a balance between convergence and diversity is a challenge for multiobjective evolutionary optimization. As crossover operators can affect the offspring distribution, an adaptive operator selection and reference vector based evolutionary algorithm (OVEA) for multiobjective optimization i...

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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 76; p. 101225
Main Authors:	Jiao, Keming, Chen, Jie, Xin, Bin, Li, Li
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.2023
Subjects:	Adaptive operator selection Multiobjective evolutionary algorithm Q-learning Reference vector Q-learning Adaptive operator selection Multiobjective evolutionary algorithm Reference vector
ISSN:	2210-6502
Online Access:	Get full text
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