布局优化基于布谷鸟算法实现无线传感器网(WSN)覆盖优化 Matlab源码

Posted 2021-07-13 博主QQ2449341593

一、WSN模型

二、布谷鸟算法

布谷鸟算法是布谷鸟育雏行为和萊维飞行结合的一种算法 。

在CS算法中，有两个路径(或者说成是两个位置的更新)备受关注：

CS算法的执行过程如下：

三、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') ;

 

四、参考文献

完整代码下载https://www.cnblogs.com/ttmatlab/p/14882966.html