Particle swarm optimization with dynamic neighborhood

被引：0
|
作者：
Gazi, Veysel [1 ]
机构：
[1] Teknol Univ, TOBB Ekon, Elektr Elekt Muhendisligi Bolumu, TR-06560 Ankara, Turkey
来源：
2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article we consider a particle swarm optimization (PSO) algorithm in which the neighbors of the particles or the neighborhood topology dynamically changes with time. We consider probabilistic and distance based approaches for determining the neighbors of the particles and represent the dynamic neighborhood topology by a time varying graph. Moreover, we test the performance of the algorithm with a simulation example.
引用
收藏
页码：37 / 40
页数：4
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