A Hierarchical Subpopulation Particle Swarm Optimization Algorithm
Based on the metaphor of specialization and cooperation in hierarchical social organization, a new particle swarm optimization (PSO) algorithm, hierarchical subpopulation PSO (HS-PSO), is proposed. In HS-PSO, the entire population is divided into several subpopulations which are arranged in a hierarchy. The subpopulations at the same level of the hierarchy evolve relative independently and cooperate with each other via their respective best particles. For the particles at different levels, different tasks are assigned. Two versions of HS-PSO which use the same or different kinds of PSO algorithms for the particles at different levels are presented. The efficiency of HS-PSO is verified by the simulation results.
Particle swarm optimization Hierarchy Subpopulation Specialization and Cooperation
Chuan Lin Quanyuan Feng
School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, P. R. China
国际会议
The 2007 International Conference on Intelligent Systems and Knowledge Engineering(第二届智能系统与知识工程国际会议)
成都
英文
1487-1491
2007-10-15（万方平台首次上网日期，不代表论文的发表时间）