Research of genetic algorithm applied on mathematical optimization problems

被引：0

作者：

Zhang Li-ping ^{[1
]}

机构：

[1] Sheyang Ligong Univ, Sch Informat Sci & Engn, Shenyang 110168, Peoples R China

来源：

Proceedings of 2006 Chinese Control and Decision Conference | 2006年

关键词：

genetic algorithm; function optimization; optimal solution;

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：

It systematically discusses the application of the genetic algorithm in,the problem of function optimization, and put forward the general framework and procedures of the function optimization based on genetic algorithm. The genetic algorithm is a method that exerts the evolution process to a group, selects the individuals which have higher adaptability into the next generation and meanwhile eliminates the ones not adaptable enough, then repeats the process in order to find the individual that has highest adaptability - the optimal individual of the last generation is the effective result of the genetic algorithm.

引用

页码：457 / 459

页数：3