1 简介
2 部分代码
% Script 布谷鸟算法，求解函数最小值
clear all ;
close all ;
clc ;
N = 25; % Number of nests(The scale of solution)
D = 10 ; % Dimensionality of solution
T = 200 ; % Number of iterations
Xmax = 20 ;
Xmin = -20 ;
Pa = 0.25 ; % Probability of building a new nest(After host bird find exotic bird eggs)
nestPop = rand(N,D)*(Xmax-Xmin)+Xmin ; % Random initial solutions
for t=1:T
levy_nestPop = func_levy(nestPop,Xmax,Xmin) ; % Generate new solutions by Levy flights
nestPop = func_bestNestPop(nestPop,levy_nestPop); % Choose a best nest among new and old nests
rand_nestPop = func_newBuildNest(nestPop,Pa,Xmax,Xmin); % Abandon(Pa) worse nests and build new nests by (Preference random walk )
nestPop = func_bestNestPop(nestPop,rand_nestPop) ; % Choose a best nest among new and old nests
[~,index] = max(func_fitness(nestPop)) ; % Best nests
trace(t) = func_objValue(nestPop(index,:)) ;
end
figure
plot(trace);
xlabel('迭代次数') ;ylabel('适应度值') ;title('适应度进化曲线') ;img =gcf; %获取当前画图的句柄
print(img, '-dpng', '-r600', './img.png') %即可得到对应格式和期望dpi的图像
3 仿真结果
4 参考文献
[1]尚志勇. 基于改进布谷鸟搜索算法的配送中心选址问题研究. (Doctoral dissertation, 河南大学).
部分理论引用网络文献，若有侵权联系博主删除。
