Using selection to improve particle swarm optimization

被引：463

作者：

Angeline, PJ ^{[1
]}

机构：

[1] Nat Select Inc, Vestal, NY 13850 USA

来源：

1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/ICEC.1998.699327

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes a evolutionary optimization algorithm that is a hybrid based on particle swarm but with the addition of a standard selection mechanism from evolutionary computations. A comparison is performed between hybrid swarm and particle swarm that shows selection to provide an advantage for some but not all complex functions.

引用

页码：84 / 89

页数：6