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...

Celý popis

Podrobná bibliografia

Vydané v:	Applied soft computing Ročník 57; s. 468 - 481
Hlavní autori:	Gou, Jin, Lei, Yu-Xiang, Guo, Wang-Ping, Wang, Cheng, Cai, Yi-Qiao, Luo, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2017
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!