Defining a standard for particle swarm optimization

被引:1026
作者
Bratton, Daniel [1 ]
Kennedy, James [2 ]
机构
[1] Univ London Goldsmiths Coll, Dept Comp, London SE14 6NW, England
[2] US Bur Labor Stat, Washington, DC USA
来源
2007 IEEE SWARM INTELLIGENCE SYMPOSIUM | 2007年
基金
英国工程与自然科学研究理事会;
关键词
D O I
10.1109/SIS.2007.368035
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Particle swarm optimization has become a common heuristic technique in the optimization community, with many researchers exploring the concepts, issues, and applications of the algorithm. In spite of this attention, there has as yet been no standard definition representing exactly what is involved in modern implementations of the technique. A standard is defined here which is designed to be a straightforward extension of the original algorithm while taking into account more recent developments that can be expected to improve performance on standard measures. This standard algorithm is intended for use both as a baseline for performance testing of improvements to the technique, as well as to represent PSO to the wider optimization community.
引用
收藏
页码:120 / +
页数:2
相关论文
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