遗传算法Geatpy

GoldMinnie

于 2022-02-12 17:04:07 发布

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CC 4.0 BY-SA版权

分类专栏：数学建模文章标签：矩阵 python 深度学习

本文链接：https://blog.youkuaiyun.com/zhangyi0626/article/details/122899095

本文介绍如何利用Python库Geatpy进行遗传算法的实现，重点探讨在深度学习中应用遗传算法解决优化问题的过程和优势。

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import numpy as np
import geatpy as ea
import random

data=[100,50,50,150,150,20,20,20,15,15,25,25,20,80,50,50,200,50,150,40,150,20,40,20,100,40,40,100,50,50]
drop=[79879.56,308.4,1622.16,25522.99,25437.74,15.11,192.49,949.76,233.68,289.97,213.47,1064.9,425.72,8383.93,8845.67,1093.5,345.32,115.44,
      5244.92,126937.86,412.26,71185.43,13.25,232.44,116.78,23453.1,5085.09,171.56,905.92,5478,3808.46,228209.42]
water=random.sample(data,5)
rate=random.sample(drop,5)
list1=[]
for i in range(len(drop