计算机工程2011，Vol.37Issue(13)：175-177,3.DOI:10.3969/j.issn.1000-3428.2011.13.056
融合模式搜索与人口迁移的优化算法
Optimization Algorithm Combining Pattern Search with Population Migration
摘要
Abstract
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 intoPMA, 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.关键词
模式搜索/人口迁移算法/优化算法/全局优化Key words
pattern search/ Population Migration Algorithm(PMA)/ optimization algorithm/ global optimization分类
信息技术与安全科学引用本文复制引用
邓辉,王勇,陈士亮..融合模式搜索与人口迁移的优化算法[J].计算机工程,2011,37(13):175-177,3.基金项目
广西自然科学基金资助项目(0832084) （0832084）
