An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation

Differential evolution (DE) algorithm is prone to premature convergence and local optimization in solving complex optimization problems. In order to solve these problems, the belief space strategy, generalized opposition-based learning strategy and parameter adaptive strategy are introduced into DE...

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Veröffentlicht in:	Applied soft computing Jg. 127; S. 109419
Hauptverfasser:	Deng, Wu, Ni, Hongcheng, Liu, Yi, Chen, Huiling, Zhao, Huimin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2022
Schlagworte:	Belief space Differential evolution Gate allocation Global optimization Opposition-based learning Parameter adaptation Differential evolution Global optimization Gate allocation Parameter adaptation Belief space Opposition-based learning
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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