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基于遗传算法的最优化问题求解
引用本文:宋杰鹏.基于遗传算法的最优化问题求解[J].数字社区&智能家居,2011(19).
作者姓名:宋杰鹏
作者单位:中国矿业大学;徐州师范大学;
摘    要:遗传算法是一种有效的解决最优化问题的方法,在解决复杂的全局优化问题方面,遗传算法已得到了成功的应用。对遗传算法的基本步骤进行总结,通过最优化问题求解实例描述了遗传算法的具体运行过程,包括产生初始染色体、染色体评价、选择、交叉、变异等。分别应用VC和VB两种语言进行编程实现,结果表明,VC语言在运算效率和结果优度方面均比VB语言要好。

关 键 词:遗传算法  最优化问题  最优解  求解步骤  运算效率  

Solving Optimization Problems Based on Genetic Algorithm
SONG Jie-peng.Solving Optimization Problems Based on Genetic Algorithm[J].Digital Community & Smart Home,2011(19).
Authors:SONG Jie-peng
Affiliation:SONG Jie-peng 1,2(1.China University of Mining and Techonlogy,Xuzhou 221116,China,2.Xuzhou Normal University,China)
Abstract:Genetic algorithm is a kind of effective method to solve optimization problems,and in solving complex global optimization problem,it has been successfully used.The basic steps of genetic algorithm are summarized,and through a real example,the detailed opera-tion steps of genetic algorithm are described,which includes initial chromosomes generation,chromosomes evaluation,selection,crossover and mutation.VC and VB programming languages are applied for realizing the above steps,and the results show that VC is ...
Keywords:genetic algorithm  optimization problem  optimal solution  solving steps  operation efficiency  
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