稳态遗传算法 [英] Steady state genetic algorithm

问题描述

如何在SSGA中通过交叉产生的两个孩子应用突变，我可以将它应用于最好的孩子吗？例如



我尝试过：



p1 = 2 3 4 7 8

p2 = 3 5 7 8 1

ch1 = 2 3 7 7 8 fit = 5这是最好的chid =>变异后的ch1 = 0 2 3 7 7 8

ch2 = 3 5 4 8 1fit = 2

How can I apply the mutation on the two child that produce from crossover in SSGA , Can I apply it just on the best child ? for example

What I have tried:

"p1= 2 3 4 7 8
p2= 3 5 7 8 1
ch1= 2 3 7 7 8 fit= 5 this the best chid => ch1 after mutation = 0 2 3 7 7 8
ch2= 3 5 4 8 1" fit= 2

推荐答案

请参阅此处的CodeProject文章：在C＃中实现遗传算法 [ ^ ]

See CodeProject article here: Implementing Genetic Algorithms in C#[^]

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