An Improved Adaptive Genetic Algorithm

被引：0
|
作者：
Song Xudong [1 ]
Xiao Yunlong [1 ]
机构：
[1] Dalian Jiaotong Univ, Software Inst, Dalian, Liaoning, Peoples R China
来源：
PROCEEDINGS OF THE 2013 CONFERENCE ON EDUCATION TECHNOLOGY AND MANAGEMENT SCIENCE (ICETMS 2013) | 2013年
关键词：
Genetic adaptive algorithm; hybrid coding; elitist strategy;
D O I：
暂无
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
In this paper, we proposed a new adaptive genetic algorithm based hybrid coding and elitist strategy. The high fitness individuals was used to perform decimal coding to improve the search rate based on original adaptive genetic algorithm, as well as the criteria of poor individuals about elitist strategy, rather than random replacement or replacing the worst individual. Experimental results show that this method is effective and reliable.
引用
收藏
页码：816 / 819
页数：4
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