摘要
简单介绍遗传算法的基本理论,并以求解一个多峰函数最大值的最优解为例子,给出基本遗传算法的求解步骤,并借助Matlab进行仿真研究,验证基本遗传算法的求解效果;研究最佳保留机制和移民机制对遗传算法性能的改善,并进行仿真验证。
The basic theory of genetic algorithm is introduced, and an example of solving optimal solution for maximum which based on a multimodal function is given. Meanwhile the solution steps of genetic algorithm are proposed and simulated by the tool of Maflab, in this way the efficiently solving of basic genetic algorithm is verified. Next the mechanism of elitist preserved and immigrant strategy which can improve genetic algorithm are researched and checked by simulation methodology.
出处
《计算机与现代化》
2011年第1期6-10,共5页
Computer and Modernization
关键词
遗传算法
最佳保留
移民机制:仿真
genetic algorithm
elitist preserved
immigrant strategy
simulation
