Study of particle swarm optimization algorithm based on convergence control

被引：0
|
作者：
Liu, Dong [1 ,2 ]
Feng, Quan-Yuan [2 ]
机构：
[1] School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
[2] School of Information and Science Technology, Southwest Jiaotong University, Chengdu 610031, China
来源：
Kongzhi yu Juece/Control and Decision | 2011年 / 26卷 / 12期
关键词：
Antenna arrays;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Aiming at the premature convergence problem of particle swarm optimization(PSO) algorithm while optimizing complicated problems, the proportion control is used to improve algorithm efficiency. The particle population of PSO algorithm can be hold at any convergence status as long as wanted, and the particle diversity and search precision are both assured, so that the efficient of algorithm is improved. The simulation results show its high performance in complicated problem, such as the radiation antenna arrays pattern synthesis with multi-null and low sidelobe restrictions.
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页码：1917 / 1920
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