Optimization Algorithm Combining Pattern Search with Population Migration
Chen Shi-liang · Jisuanji gongcheng · 2011
In the light of the deficiencies of Population Migration Algorithm(PMA),such as slow convergence speed,easily to fall into local optimum,the low solution precision and so on,this paper takes pattern search method as a local optimization operator and embeds it into PMA,that is to say,every point which is randomly generated by PMA is locally optimized by pattern search,and proposes an optimization approach named HJPMA which combines pattern search with PMA.The simulation results show the proposed algorithm has faster convergence speed,higher computational accuracy,and is quite effective for solving global optimization problems.