A variant of the united multi-operator evolutionary algorithms using sequential quadratic programming and improved SHADE-cnEpSin

United multi-operator evolutionary algorithms (UMOEAs) combine multi-operator differential evolution (DE), the multi-operator genetic algorithm (MOGA), and the covariance matrix adaption evolution strategy (CMA-ES). UMOEAs-II, an improved version of UMOEAs, uses three differential evolution variants...

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Bibliographic Details
Published in:	Information sciences Vol. 622; pp. 652 - 681
Main Authors:	Hong, Libin, Guo, Youjian, Liu, Fuchang, Wang, Ben
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.04.2023
Subjects:	CMA-ES Differential evolution Nonlinear population size reduction Sequential quadratic programming SHADE-cnEpSin United multi-operator evolutionary algorithms Differential evolution SHADE-cnEpSin United multi-operator evolutionary algorithms Sequential quadratic programming CMA-ES Nonlinear population size reduction
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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