文献类型：会议论文

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

作者：Mingyi Cui[1];

第一作者：崔明义

机构：[1]School of Information, Henan University of Finance & Economics, 450002,Zhengzhou, China;

第一机构：河南财经政法大学计算机与信息工程学院

会议论文集：International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)论文集

会议日期：20081002

会议地点：长沙

主办单位：IEEE计算机学会;长沙理工大学

语种：英文

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 ronning 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.