A hierarchical particle swarm optimizer

被引：0
|
作者：
Janson, S [1 ]
Middendorf, M [1 ]
机构：
[1] Univ Leipzig, Parallel Comp & Complex Syst Grp, Dept Comp Sci, D-04109 Leipzig, Germany
来源：
CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
A hierarchical version of the Particle Swarm Optimization method called H-PSO is introduced in this paper. In H-PSO the particles are arranged in a dynamic hierarchy that is used to define a neighborhood structure. Depending on the quality of their so far best found solution the particles move up or down the hierarchy so that good particles have a higher influence on the swarm. Moreover, the hierarchy is used to define different search properties for the particles. Several variants of H-PSO are compared experimentally with variants of the standard PSO.
引用
收藏
页码：770 / 776
页数：7
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