Fuzzy adaptive particle swarm optimization

被引：0
|
作者：
Shi, YH [1 ]
Eberhart, RC [1 ]
机构：
[1] EDS Embedded Syst Team, Kokomo, IN 46902 USA
来源：
PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2001年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a fuzzy system is implemented to dynamically adapt the inertia weight of the particle swarm optimization algorithm (PSO). Three benchmark functions with asymmetric initial range settings are selected as the test functions. The same fuzzy system has been applied to all the three test functions with different dimensions. The experimental results illustrate that the fuzzy adaptive PSO is a promising optimization method, which is especially useful for optimization problems with a dynamic environment.
引用
收藏
页码：101 / 106
页数：6
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