Surrogate-Assisted Automatic Parameter Adaptation Design for Differential Evolution

In this study, parameter adaptation methods for differential evolution are automatically designed using a surrogate approach. In particular, Taylor series are applied to model the searched dependence between the algorithm’s parameters and values, describing the current algorithm state. To find the b...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Vladimir Stanovov, Eugene Semenkin
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Subjects:	numerical optimization differential evolution parameter adaptation surrogate assisted
Online Access:	https://www.mdpi.com/2227-7390/11/13/2937