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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Vydáno v:	Applied soft computing Ročník 81; s. 105496
Hlavní autoři:	Wang, Shihao, Li, Yuzhen, Yang, Hongyu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.08.2019
Témata:	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
On-line přístup:	Získat plný text
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