LearnLaTeX/Normal_GeneticAlgorithm.py at master · shirain-he/LearnLaTeX · GitHub

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# 导入测试所用到的库
mport numpy as np
import copy
import matplotlib.pyplot as plt
import seaborn as sns

# 导入我们需要用到的遗传相关函数
from Genetic_Algorithm_N_Queen import fitness_function
from Genetic_Algorithm_N_Queen import softmax, mutation
from Genetic_Algorithm_N_Queen import GA

# 调用种群数为100的遗传函数GA
GeneticDict, Queen = GA(size = 8)

# 测试结果
----------------------------------
Generation :  0
current max fitnessvalue: 24
Generation :  1
current max fitnessvalue: 25
Generation :  2
current max fitnessvalue: 26
Generation :  3
current max fitnessvalue: 25
Generation :  4
current max fitnessvalue: 24
Generation :  5
current max fitnessvalue: 26

--中间遗传过程省略--

Generation :  2285
current max fitnessvalue: 24
Generation :  2286
Find Target!
[6 4 2 0 5 7 1 3]

示例总遗传代数：2286代
示例计算总耗时： 5.8s