Algorithm Design and Experimental Analysis for Hybrid PSO Based on VDGRASP

摘要：

The intensification mechanism and diversification mechanism of Basic Particle Swarm Optimization (BPSO) algorithm were analyzed, and the precision problem of BPSO was discussed. Then a new hybrid PSO algorithm was set up, and the Variable Dimension Greedy Randomized Adaptive Search Procedure (VDGRASP) was designed to combine with BPSO. Two parameters of the hybrid PSO, SubDNum and PerturbScope, were analyzed through experiments, and the adaptive variations were designed for them. Three benchmarks were tested and show that the new algorithm is better than the BPSO with precision.

关键词： hybrid PSO evolutionary computation intensiflcalion mechanism precision improvement

作者: LIU Lei JING Tao WU Xiaoyong

作者单位: Naval Academy of Armament Beijing, China School of Information Systems and Management,NUDT Changsha, Naval Academy of Armament Beijing, China School of Information Systems and Management, NUDT Changsha, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 397-401

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）