计算机应用研究2013，Vol.30Issue(6)：1640-1642,1651,4.DOI:10.3969/j.issn.1001-3695.2013.06.009
一种采用克隆选择的免疫差分进化算法
Immune differential evolution algorithm using clone selection
摘要
Abstract
To solve the problem of standard differerntial evolution algorithm getting into premature convergence easily,this paper proposed a novel hybrid optimization algorithm base on artificial immune system(AIS) and differential evolution (DE) algorithm.In this algorithm,it inserted clonal selection and receptor edit mechanism into the differential evolution process to enhance the local search ability and the population diversity of the algorithm.Experimental results on five functions show that this algorithm not only effectively avoids the premature convergence,but also significantly improves the global optimization ability and the convergence speed.关键词
差分进化/人工免疫系统/局部搜索能力/多样性/全局优化Key words
differential evolution/ artificial immune system/ local search ability/ population diversity/ global optimization分类
信息技术与安全科学引用本文复制引用
胡超杰,章兢..一种采用克隆选择的免疫差分进化算法[J].计算机应用研究,2013,30(6):1640-1642,1651,4.基金项目
国家自然科学基金资助项目(61174140) （61174140）
