计算机应用研究2013，Vol.30Issue(4)：1032-1034,3.DOI:10.3969/j.issn.1001-3695.2013.04.019
一种基于差分进化和免疫克隆选择算法的混合优化方法
Hybrid optimization method based on differential evolution and immune clonal selection algorithm
摘要
Abstract
This paper proposed a hybrid optimization method to improve the immune clonal selection algorithm (ICSA) search ability. It based on the principles of differential evolution (DE) and immune clonal selection (ICA). It used the DE to improve the affinities of the clones of the antibodies in the ICSA. It analyzed the convergence of the hybrid optimization method. In order to test the effectiveness of the algorithm, it applied to solve the function optimization problems. Simulation results show that the improved algorithm was of high convergent speed and convergent accuracy.关键词
免疫算法/克隆/选择/差分进化Key words
immune algorithm/ clonal/ selection/ differential evolution (DE)分类
信息技术与安全科学引用本文复制引用
叶洪涛,罗文广,吴艳..一种基于差分进化和免疫克隆选择算法的混合优化方法[J].计算机应用研究,2013,30(4):1032-1034,3.基金项目
国家教育部科学技术研究重点项目(212135) （212135）
广西自然科学基金资助项目(2012GXNSFBA053165) （2012GXNSFBA053165）
广西教育厅科研基金资助项目(201203YB131,201202ZD071) （201203YB131,201202ZD071）
广西工学院博士基金资助项目(院科博11Z09) （院科博11Z09）
