A dynamic boundary based particle swarm optimization

被引：0
|
作者：
Li, Ying-Qiu [1 ,2 ]
Chi, Yu-Hong [3 ]
Wen, Tao [1 ,2 ]
机构：
[1] Software Center, Northeastern University, Shenyang
[2] Department of Computer Science and Technology, Dalian Neusoft Information Institute, Dalian
[3] Unit 65053, PLA, Dalian
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2013年 / 41卷 / 05期
关键词：
Dynamic boundary; Particle swarm optimization; Premature convergence; Stagnation phenomena;
D O I：
10.3969/j.issn.0372-2112.2013.05.006
中图分类号：
学科分类号：
摘要：
Standard particle swarm optimization presented in 2007(namely, PSO-2007)inclines towards stagnation phenomena in the later stage of evolution, which leads to pre mature convergence. Therefore, a PSO based on dynamic boundary(namely, DBPSO)is pro posed in this paper. According to the movement characteristics of particles at st agnation stage, DBPSO introduces a strategy of boundary adjusting in PSO-2007. By tracking the distribution of the particles'locations, DBPSO adjusts the boundar y of search space dynamically, which could guide the particles to more promising region. This strategy helps PSO-2007 decrease premature convergence and improve convergence precision. The results of experiments of four typical functions show that DBPSO are feasible and effective.
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页码：865 / 870
页数：5
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