Theory of particle swarm optimization: A survey of the power of the swarm's potential

被引：2
|
作者：
Bassimir, Bernd [1 ]
Rass, Alexander [1 ]
Schmitt, Manuel [1 ]
机构：
[1] Friedrich Alexander Univ Erlangen NUrnberg, Erlangen, Germany
来源：
IT-INFORMATION TECHNOLOGY | 2019年 / 61卷 / 04期
关键词：
Particle swarm optimization; potential; meta-heuristics; CONVERGENCE;
D O I：
10.1515/itit-2019-0004
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a survey on different showcases for potential measures on particle swarm optimization (PSO). First, a potential is analyzed to prove convergence to non-optimal points. Second, one can apply a minor modification to PSO to prevent convergence to non-optimal points by using an easy potential measure. Finally, analyzing this potential measure yields a reliable stopping criterion for the modified PSO.
引用
收藏
页码：169 / 176
页数：8
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