Using selection to improve particle swarm optimization

被引：459
|
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
收藏
页码：84 / 89
页数：6
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