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。
The particle＇s trajectory of PSO was fully analyzed in this paper,the influence of random parameters on particle＇s trajectory was discussed,the concept of cluster-degree was put forward and distribute status of particle with different 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 adjustment of PSO parameters in practical application.
出处
《计算机科学》
CSCD
北大核心
2011年第10期181-183,共3页
Computer Science
基金
国家自然科学基金(61035003
60933004
60970088
61072085
60903141)
国家973项目(2007CB311004)
山东省中青年科学家奖励基金(2009BSB01383)资助
关键词
粒子群优化
聚度
速度补偿策略
Particle swarm optimization
Cluster-degree
Velocity reinforce strategy
