Analysis and Improvement of Extremum Random Disturbed Arithmetic Operator of A PSO Algorithm

摘要：

Aiming at the demerits of extremum random disturbed arithmetic operator of a particle swarm optimization algorithm, the reasonable amelioration is put forward based on the design idea of extremum random disturbed arithmetic operator. An improved particle swarm optimization algorithm is put forward and applied to parameter selection of support vector machine. The regress modeling of two common functions based on least square support vector machine is to be as examples and the simulation experiment is done. The results show that the amelioration of arithmetic operator is necessary and feasible. The convergence velocity and precision of algorithm are enhanced.

关键词： particle swarm optimization algorithm extremum random disturbed arithmetic operator support vector machine parameter selection modeling convergence

作者: Hou Qingjian Wang Hongli

作者单位: Xi’an Research Inst. of Hi-Tech., Hongqing Town, Xi’an, P. R. China 710025

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）