运用python实现差分进化算法计算函数最大值.py

#运用python实现差分进化算法计算函数最大值 import random import math import numpy as np import random cr = 0.6 Population = np.random.rand(100,2) cycle = 500 hig , low = math.pi , 0 def eval(x): y = 2*math.sin(x[0])+math.cos(x[1]) return y def main(): for t in range(cycle):#确定迭代次数 for i in range(len(Population)):#遍历种群中每一个个体 loc = np.random.randint(0,100,3)#生成三个随机整数，用于公式中随机选取三个点 new = Population[loc[0]] + 0.3*(Population[loc[1]]-Population[loc[2]])#老师给的公式 if random.random() eval(Population[i]):#优胜劣汰 Population[i] = new for j in range(len(Population[i])):#设置函数取值范围 if Population[i][j] hig: Population[i][j] = hig def result(): main() y_best = [] for i in range(len(Population)): y_best.append(eval(Population[i])) print("函数在x为",Population[y_best.index(max(y_best))],"时取得最大值") print("此时函数结果为：",max(y_best)) result()