Research on Self-adaptive Float Evolution Algorithm Based on DE

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.

作者: Mingyi Cui

作者单位: School of Information, Henan University of Finance & Economics, 450002,Zhengzhou, China

会议类型: 国际会议

会议名称: 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)

会议地点: 长沙

会议语种:英文

页码: 140-144

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）