A Differential Evolution Algorithm based on Self-Adapting Mountain-climbing Operator

被引：2
|
作者：
Lei, Sheng [1 ]
Liu, Wei [1 ]
Cai, YaoHe [1 ]
机构：
[1] Guangdong Univ Technol, Sch Appl Math, Guangzhou 510520, Guangdong, Peoples R China
来源：
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4 | 2013年 / 263-266卷
关键词：
Differential Evolution; Mountain-climbing; Self-Adapting;
D O I：
10.4028/www.scientific.net/AMM.263-266.2332
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a Differential Evolution algorithm based on Self-Adapting Mountain-climbing operator (LCDE) to overcome the problem of low convergence speed and bad local searching ability in the evolution period. The algorithm dynamically adjusts the value of climb radius during using the information of the individual search efficiency in the search process. The experiment results demonstrate that the new differential evolution algorithm has fast convergence speed and high computation precision.
引用
收藏
页码：2332 / 2338
页数：7
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