文献类型：会议论文

英文题名：Research on Self-adaptive Float Evolution Algorithm Based on DE

作者：Cui, Mingyi[1]

第一作者：崔明义

通讯作者：Cui, MY[1]

机构：[1]Henan Univ Finance & Econ, Sch Informat, Zhengzhou 450002, Peoples R China

第一机构：河南财经政法大学计算机与信息工程学院

通讯机构：[1]corresponding author), Henan Univ Finance & Econ, Sch Informat, Zhengzhou 450002, Peoples R China.|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

会议论文集：International Conference on Intelligent Computation Technology and Automation

会议日期：OCT 20-22, 2008

会议地点：Changsha, PEOPLES R CHINA

语种：英文

外文关键词：Codes (symbols) - Optimization

摘要：Since Differential Evolution (DE) proposed by researchers, it has been being the focus researched in evolutionary computation. There are better search performance, stronger robustness and higher perturbation property in DE. In improving the performance of algorithm and running quality, extending evolution algorithm application to engineering optimization, float code is superior to other codes. In this paper, DE was combined with float code evolutionary computation, self-adaptive float evolution algorithms based on differential evolution (SFEADE) was presented. Through analyzing and experiment, the result indicated the algorithm was credible in performance and feasible in method. It was stronger in practicability.