A novel improved particle swarm optimization algorithm based on individual difference evolution

[Display omitted] •This paper uses a novel evolution strategy based on individual difference to improve the performance of particle swarm optimization, hence proposes a novel improved particle swarm optimization algorithm based on individual difference evolution, named IDE-PSO.•A new parameter is in...

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Veröffentlicht in:	Applied soft computing Jg. 57; S. 468 - 481
Hauptverfasser:	Gou, Jin, Lei, Yu-Xiang, Guo, Wang-Ping, Wang, Cheng, Cai, Yi-Qiao, Luo, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2017
Schlagworte:	Dynamic adjustment Emotional PSO Individual difference Particle swarm optimization Psychology model Subgroup Subgroup Emotional PSO Individual difference Particle swarm optimization Dynamic adjustment Psychology model
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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