中北大学学报（自然科学版）Issue(6)：704-708,713,6.DOI:10.3969/j.issn.1673-3193.2014.06.017
改进变异算子的差分进化算法并行性分析
Parallel Analysis of Improving Mutation Operator Differential Evolution Algorithm
孙康 1潘广贞1
作者信息
- 1. 中北大学计算机与控制工程学院，山西太原030051
- 折叠
摘要
Abstract
In order to improve weak situation of the global search ability and the stablity of optimization in parallel differential evolution algorithm ,an improved differential evolution algorithm’s mutation operator was proposed based on DE/best/1 mutation operator .The operator used DE/best/1 in the early ,and the improved mutation operator was used if the generations were greater than set generations .Through broadening the field of searching to improve the diversity of populations ,the new operator enhanced the optimization capability of differential evolution algorithm .Several functions are tested and the results show that the proposed algorithm can enhance the global convergence ability remarkably in the same population sizes and has more stability in the different population sizes .关键词
差分进化/变异算子/并行化/寻优质量Key words
differential evolution/mutation operator/parallelization/optimum quality分类
信息技术与安全科学引用本文复制引用
孙康,潘广贞..改进变异算子的差分进化算法并行性分析[J].中北大学学报（自然科学版）,2014,(6):704-708,713,6.
