发布时间 : 星期四 文章一个与powell算法相结合的改进微粒群算法(格式修改完2)更新完毕开始阅读7d285e1ca8114431b90dd82e
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powell(p, xi, ndim, np, ftol, iter, fret); for(k=0; k pb[k] = p[k+1]; } for(k=0;k for(t=0;t individual[k].speed[t]=individual[k].weight[t]*individual[k].speed[t]+ c1*rdft()*(individual[k].best[t]-individual[k].number[t]) +c2*rdft()*(pb[t]-individual[k].number[t]); if(individual[k].speed[t]>vmax) individual[k].speed[t]=vmax; if(individual[k].speed[t]<(-1.0)*vmax) individual[k].speed[t]=(-1.0)*vmax; individual[k].number[t]=individual[k].number[t]+individual[k].speed[t]; if(individual[k].number[t]>xmax) individual[k].number[t]=2.0*xmax-individual[k].number[t]; if(individual[k].number[t] individual[k].number[t]=2.0*xmin-individual[k].number[t]; } calculation(k); 41 } } } } } localbest(k); globalbest(i); for(k=0;k for(t=0;t individual[k].weight[t]=wmax-(t/2000)*(wmax-wmin); printf(\迭代次数为:%d\\t最优值为:%.8f\\n\printf(\最优解为:\\n\for (l=0; l printf(\ printf(\if ((l+1)%5 == 0) printf(\ printf(\达优率：%f\\n平均迭代次数：%f\\t\ 42 43