1 WSN模型
模型参考这里。
2 部分代码
%
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') ;
5 MATLAB代码与数据下载地址
见博客主页
