将以下代码转换为python：for gen=2:maxgen %选择操作 GApop1=zselect(GApop0,popsize,fitness1); %交叉操作 GApop1=zcross(GApop1,popsize,pc1,pc2,fitness1,M,N,Tn0,Tn1,Q,ST0,maxT,gen,maxgen); %变异操作 GApop1=zmutate(GApop1,popsize,pm1,pm2,fitness1,M,N,Tn0,Tn1,Q,ST0,maxT,gen,maxgen,LCR,ECR,MCR,FC,ICR); for j=1:popsize a(j,:)=ztime(GApop1(j,:),M,N,Tn0,Tn1,Q,ST0); fitness(j,1)=zcost(GApop1(j,:),M,N,a(j,1),a(j,2:2M+3),a(j,2M+4:2M+2+N),LCR,ECR,MCR,FC,ICR,Q); end for j=1:popsize if a(j,1)>maxT fitness(j)=10^100;%fitness(j)exp(10^(a(j,1)-maxT)); end end %%%%%%%%灾变算子 if elitefit(gen,:)==elitefit(gen-1,:) Ca=Ca-1; else Ca=10; %重新灾变倒计时 end if Ca==0 %发生灾变 for c=1:0.1popsize GApop1(c,:)=GApop1(randpopsize,:); end for c=1:0.9popsize GApop1(c+1,:)=zcode(M,N); end %重新计算适应度值 for j=1:popsize a(j,:)=ztime(GApop1(j,:),M,N,Tn0,Tn1,Q,ST0); fitness(j,1)=zcost(GApop1(j,:),M,N,a(j,1),a(j,2:2M+3),a(j,2M+4:2M+2+N),LCR,ECR,MCR,FC,ICR,Q); end for j=1:popsize if a(j,1)>maxT fitness(j)=10^100;%fitness(j)*exp(10^(a(j,1)-maxT)); end end end %%%%%%%%

for gen in range(2, maxgen):
    GApop1 = zselect(GApop0, popsize, fitness1) # 选择操作
    GApop1 = zcross(GApop1, popsize, pc1, pc2, fitness1, M, N, Tn0, Tn1, Q, ST0, maxT, gen, maxgen) # 交叉操作
    GApop1 = zmutate(GApop1, popsize, pm1, pm2, fitness1, M, N, Tn0, Tn1, Q, ST0, maxT, gen, maxgen, LCR, ECR, MCR, FC, ICR) # 变异操作
    for j in range(popsize):
        a[j,:] = ztime(GApop1[j,:], M, N, Tn0, Tn1, Q, ST0)
        fitness[j,0] = zcost(GApop1[j,:], M, N, a[j,0], a[j,1:2*M+3], a[j,2*M+4:2*M+2+N], LCR, ECR, MCR, FC, ICR, Q)
    for j in range(popsize):
        if a[j,0] > maxT:
            fitness[j,0] = 10**100 #fitness[j]*exp(10**(a[j,0]-maxT))
    if np.array_equal(elitefit[gen,:], elitefit[gen-1,:]):
        Ca = Ca-1
    else:
        Ca = 10 #重新灾变倒计时
    if Ca == 0: #发生灾变
        for c in range(1, int(0.1*popsize)+1):
            GApop1[c-1,:] = GApop1[np.random.randint(0, popsize),:]
        for c in range(int(0.1*popsize)+1, popsize):
            GApop1[c,:] = zcode(M, N)
        for j in range(popsize):
            a[j,:] = ztime(GApop1[j,:], M, N, Tn0, Tn1, Q, ST0)
            fitness[j,0] = zcost(GApop1[j,:], M, N, a[j,0], a[j,1:2*M+3], a[j,2*M+4:2*M+2+N], LCR, ECR, MCR, FC, ICR, Q)
        for j in range(popsize):
            if a[j,0] > maxT:
                fitness[j,0] = 10**100 #fitness[j]*exp(10**(a[j,0]-maxT))