Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (8): 1-5.

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Dynamic particle swarm optimization algorithm with hierarchical ring topology

SHI Song, CHEN Yun   

  1. School of Public Economics and Management, Shanghai Key Lab of Financial Information Technology, Shanghai University of Finance and Economics, Shanghai 200433, China
  • Online:2013-04-15 Published:2013-04-15

层次环形拓扑结构的动态粒子群算法

石  松,陈  云   

  1. 上海财经大学 公共经济与管理学院,上海市金融信息技术研究重点实验室,上海 200433

Abstract: The topology of Particle Swarm Optimization(PSO) determines information interaction mechanism between the particles,is one of the key factors that affect algorithm performance.A hierarchical version of the PSO(HRPSO) is developed,rings composed of particles are distributed in a rule tree,and move in the hierarchy while algorithm is running.The HRPSO is comprehensively evaluated on 6 benchmark functions,experimental results show the HRPSO has advantages in accuracy and stability.

Key words: Particle Swarm Optimization(PSO), topology, Hierarchical Ring Particle Swarm Opitimization(HRPSO), hierarchical ring

摘要: 粒子群算法(PSO)的拓扑结构决定粒子之间的信息交互方式,是影响算法性能的关键因素。为提高算法性能,提出了一种层次环形拓扑结构的动态粒子群算法(HRPSO),粒子组成的环被分配在规则树中,算法运行时,环在层次中动态移动。通过6个标准测试函数优化,比较了HRPSO与几种基准算法的性能,实验结果证明HRPSO在精确性和稳定性上具有优势。

关键词: 粒子群算法, 拓扑结构, 层次环形粒子群算法(HRPSO), 层次环形