Research on Self-adaptive Float Evolution Algorithm Based on DE

被引：0
|
作者：
Cui, Mingyi [1 ]
机构：
[1] Henan Univ Finance & Econ, Sch Informat, Zhengzhou 450002, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICICTA.2008.158
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：140 / 144
页数：5
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