ga_ex26.m

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% GA_ex26.m file
% Fin min of a function of 2 varaibles
% Fitness function evaluation of Example 2-6
% See P.218 of King's Computational Intelligence
% in Control Engineering

% PenChen Chou, 6-30-2001

%**********************************************************/
%       User can modify the following in blocks
%**********************************************************/
clear all
ans=1;
who
fprintf('>>>Start this program [GA_ex26.m] now. Please wait!\n');
pause(1)
global MIN_offset MUL_factor LOCUS x_data y_data
MIN_offset=5; LOCUS=1; x_data=[]; y_data=[];
MUL_factor=1;
obj_fcn = 'GA_f26';	% Objective function
range = [-1  -1
          1   1];	% Range of the input variables
IC=[]; elite=1; 
gen_no=550; popuSize=50; bit_n=32;
xover_rate=0.8; mutate_rate=0.01;

x=-1:0.02:1; y=x; [X,Y]=meshgrid(x,y);
Z=X.^2+Y.^2-0.3*cos(3*pi*X)-0.4*cos(4*pi*Y)+0.7;
figure(2);contour(X,Y,Z)
%************************************************************
% call GA 
tic
     [popu, popu_real, fcn_value, upper, average,...
     lower, BEST_popu, popuSize, gen_no, para, best_pi,...
     bit_n, xover_rate, mutate_rate]=...
GA_genetic(obj_fcn, range, IC, elite, gen_no, popuSize,...
     bit_n, xover_rate, mutate_rate);
t=toc/60;
fprintf('==>  Computation time is (%.2f) minutes.\n',t); 

% Plot locus of optimization process
LAST=length(x_data);
figure(2); hold on
plot(x_data(1),y_data(1),'x');
plot(x_data,y_data);
plot(x_data(LAST),y_data(LAST),'o');
plot(0,0,'*');   % The best position
hold off
title('*=BEST, x=Starting point, o=Ending point')