Coyote algorithm MATLAB source code

clear all close all clc % Optimization setup FOBJ = @(x) Rastrigin(x); % Optimization problem D = 30; % Problem dimension lu = [zeros(1,D);ones(1,D)]; % Seach space nfevalMAX = 10000*D; % Stopping criteria Np = 10; % Number of packs Nc = 10; % Number of coyotes [GlobalParams,GlobalMin,ff] = COA(FOBJ, lu, nfevalMAX,Np,Nc); % Start process % Show results fprintf(1,'COA''s global optimum: %.4g\n',GlobalMin); for i=1:D fprintf(1,'COA''s global parameters are x(%d): %.4f\n',i,GlobalParams(i)); End figure plot(ff) xlabel(' number of iterations ') ylabel(' fitness ')Copy the code

function y = Rastrigin (X)
% Rastrigin's Function
A = 10;
n = length(X);
m = 0;
for i = 1:n
    m = m + X(i)^2 - A*cos(2*pi*X(i));
end
y = 10*n + m;
end
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