Self-adaptive mutation differential evolution algorithm based on particle swarm optimization

Differential evolution (DE) is an effective evolutionary algorithm for global optimization, and widely applied to solve different optimization problems. However, the convergence speed of DE will be slower in the later stage of the evolution and it is more likely to get stuck at a local optimum. More...

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Bibliographic Details

Published in:	Applied soft computing Vol. 81; p. 105496
Main Authors:	Wang, Shihao, Li, Yuzhen, Yang, Hongyu
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2019
Subjects:	Arrival flights scheduling Differential evolution Elite archive Particle swarm optimization Self-adaptive mutation Elite archive Differential evolution Arrival flights scheduling Particle swarm optimization Self-adaptive mutation
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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