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基于矩阵编码的遗传算法研究
引用本文:刘鲭洁,陈桂明,刘小方. 基于矩阵编码的遗传算法研究[J]. 计算机工程, 2011, 37(13): 160-162. DOI: 10.3969/j.issn.1000-3428.2011.13.051
作者姓名:刘鲭洁  陈桂明  刘小方
作者单位:第二炮兵工程学院504教研室,西安,710025
摘    要:分析遗传算法求解矩阵函数的局限性,提出一种基于矩阵编码的遗传算法。定义该算法的选择算子、交叉算子、变异算子,编写各算子的Matlab函数,通过仿真求解二矩阵变量函数。实例证明,该算法能确保矩阵染色体的结构完整性,提高遗传算法的速度和寻优 精度。

关 键 词:遗传算法  矩阵编码  选择算子  交叉算子  变异算子
收稿时间:2010-12-16

Research on Genetic Algorithm Based on Matrix Coding
LIU Qing jie,CIEN Gui-ming,LIU Xiao-fang. Research on Genetic Algorithm Based on Matrix Coding[J]. Computer Engineering, 2011, 37(13): 160-162. DOI: 10.3969/j.issn.1000-3428.2011.13.051
Authors:LIU Qing jie  CIEN Gui-ming  LIU Xiao-fang
Affiliation:(Staff Room 504,The Second Artillery Engineering College,Xi’an 710025,China)
Abstract:This paper analyzes the deficiency of genetic algorithm in solving matrix variable function,proposes a new genetic algorithm based on matrix coding.The selection,crossover,mutation arithmetic operators are defined,and also all arithmetic operators’ Matlab function are compiled.It proves the practicability of the new algorithm by simulating a two matrix variables function optimization.Results show that the new genetic algorithm can ensure the configuration integrality of the matrix chromosome,and increase the operation speed and optimization precision.
Keywords:genetic algorithm  matrix coding  selection arithmetic operators  crossover arithmetic operators  mutation arithmetic operators
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