Improved Partheno-genetic Algorithm and its application

被引：0
|
作者：
Chen Junhong [1 ]
Hu Junxiang [1 ]
Li Fei [1 ]
机构：
[1] Hebei Agr Univ, Coll Mech & Elect Engn, Baoding 071001, Peoples R China
来源：
ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年
关键词：
genetic Algorithm; Partheno-genetic Algorithm; improved Partheno-genetic Algorithm; application;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
After analyzing and studying the deficiencies of traditional Genetic Algorithm, an improved Genetic Algorithm is introduced, that is Partheno-Genetic Algorithm (PGA). Partheno-Genetic Algorithm repeals the crossover operators of traditional Genetic Algorithm while uses the reproduction manner with only parent. In order to further enhance the performance of Partheno-Genetic Algorithm, an Improved Partheno-Genetic Algorithm is proposed as improving selection operator, gene recombination operator, gene mutation operator and convergence rule. Applications of Improved Partheno-Gene Algorithm to traveling. salesman problem, flow-shop and distribution network optimal planning are researched The simulation results indicate that Improved Partheno-genetic Algorithm is very efficient. It is superior to traditional Genetic Algorithm and Partheno-genetic Algorithm in calculation efficiency and global convergence.
引用
收藏
页码：2378 / 2381
页数：4
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