计算机应用研究2012，Vol.29Issue(5)：1659-1661,1665,4.DOI:10.3969/j.issn.1001-3695.2012.05.015
和声搜索—分布估计混合算法求解多目标优化问题
Hybrid harmony search and estimation of distribution algorithm for multi-objective optimization problems
摘要
Abstract
For solving the problems of basic harmony search algorithm can't be well used for multi-objective optimization,this ' paper proposed a kind of multi-objective hybrid harmony search and estimation of distribution ( MHS-EDA). In the harmony memory, sampled every variable by estimation of distribution, so it would widen the space of harmony memory. Out of the harmony memory, every variable would be searched by external repository, so it could exchange information between the populations during ihe proceeding of evolutionary and enhance the global searching ability of harmony search algorithm. Numerical experiments compare with multi-objective genetic algorithm, multi-objective estimation of distribution algorithm and multi-objective harmony search algorithm on six benchmark problems. The results show that the proposed algorithm can be effective to solve multi-objective optimization problems.关键词
多目标优化/和声搜索/分布估计Key words
multi-objective optimization/harmony search/estimation of distribution foraging分类
信息技术与安全科学引用本文复制引用
郝冰,任献花,高岳林,江巧永..和声搜索—分布估计混合算法求解多目标优化问题[J].计算机应用研究,2012,29(5):1659-1661,1665,4.基金项目
国家自然科学基金资助项目(60962006) （60962006）
云南省教育厅科学研究基金资助项(2010Y073) （2010Y073）
