计算机科学 ›› 2011, Vol. 38 ›› Issue (10): 181-183.

• 人工智能 • 上一篇    下一篇

基于聚度的PSO参数分析

窦全胜,史忠植,姜平,李国江   

  1. (山东工商学院计算机科学与技术学院 烟台264005);(中国科学院计算技术研究所 北京100080)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Analysis about Parameters Selection of PSO Based on Cluster-degree

DOU Quan-sheng,SHI Zhong-zhi,JIANG Ping,LI Guo-jiang   

  • Online:2018-11-16 Published:2018-11-16

摘要: 对PSO方法中粒子运行规律给出较为完整的分析,考察随机性对粒子运动过程的影响,提出聚度的概念,并 通过粒子的聚度考察粒子在实际运行条件下的分布情况,给出更加具体的参数设置区间,提出一种粒子在运动过程中 的速度补偿策略,对于一些参数设置可以通过该策略提高搜索性能,该策略对实际应用中选择和调整PSO算法参数 有较强的指导意义。

关键词: 粒子群优化,聚度,速度补偿策略

Abstract: The particle's trajectory of PSO was fully analyzed in this paper, the influence of random parameters on par- tide's trajectory was discussed,the concept of cluster-degree was put forward and distribute status of particle with dif- ferent cluster-degree was studied. The reasonable parameters setting range based on cluster-degree was proposed,at the same time,reinforce strategy of particle's velocity was proposed in order to improve performance of PSO under some condition. So this paper is helpful for the choosing and a山ustment of PSO parameters in practical application.

Key words: Particle swarm optirniGation, Cluster-degree, Velocity reinforce strategy

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