aismain.m

提供一matlab编写的人工免疫的算法源程序

function [] = AISMAIN
%
% Function AISMAIN Demonstration
% Runs a Demo for the following immune tools:
% 1) CLONALG (Basic Clonal Selection Algorithm)-----CLONALG.doc
%
%
% Secondary Functions: 
% Internal Subfunctions: 
%           present----show all method
%           choose---decide which one is selected
%           CADEIA---create init Ab and Ag matrix data
% Auxiliary Subfunctions: 
%           hardlim----transfer function,hardlims(n) = 1,  if n >= 0;      0, otherwise
%           hardlims----transfer function,hardlims(n) = 1, if n >= 0;    -1, otherwise
%           ga3d--------ENHANCED GENETIC ALGORITHM - Bi-classist Selection
% Copyrigth by Min Hu
% May, 2004
%

% Function chooses the demo
while 1,
   p = present; choose(p);
   disp('Press any key to continue...'); pause;
end;


% ------------------------- %
%   INTERNAL SUBFUNCTIONS
% ------------------------- %

% Function presents the DEMO TOOLBOX
function p = present,
clc; disp('*-----------------------------------------------*');
disp(sprintf('ARTIFICIAL IMMUNE SYSTEMS - TUTORIAL PRESENTATION'));
disp(sprintf('	    Min hu'));
disp(sprintf('		May 2004'));
disp('*-----------------------------------------------*');
disp(sprintf('Available Demos:'));
disp(sprintf('1) CLONALG'));
p = input('Type the desired demo number (or CTRL^C to Interrupt): ');
% End function PRESENT


% Function allows choosing Demos
function choose(p);
switch p,
   case 1,
   disp(sprintf('\n** PART III - CLONALG (The CLONal Selection ALGorithm) **'));
   v = cadeia(100,44,0,0,0);
   disp(sprintf('Available Demo Tasks:'));
   disp(sprintf('1) GA (GLOBAL SEARCH)'));
   disp(sprintf('2) CLONALG (MULTI-MODAL OPTIMIZATION)'));
   ga_cga = input('Type the desired demo number (1) or (2): ');
   switch ga_cga,
        case 1,
            disp(sprintf('** Standard Genetic Algorithm - GA **'));
            figure(1); clf;
            [x,y,fx,vx,vmfit,P] = ga3d(v);
            disp(sprintf('Maximum found [x,y,f(x,y)]: [%.2f,%.2f,%.2f]',x,y,fx));
            figure(2); plot(vx); title('f(x,y) x Mean'); xlabel('Generations'); ylabel('f(x)');
            hold on; plot(vmfit,'r'); hold off;
        case 2,
            disp(sprintf('** Clonal Selection Algorithm - CLONALG **'));
            figure(3); clf; %v = v(1:50,:);
            [x,y,fx,vfx,vmfit,P,vpm] = imalg3d(v);
            save data x y fx vfx;
            disp(sprintf('Maximum found [x,y,f(x,y)]: [%.2f,%.2f,%.2f]',x,y,fx));
            figure(4); clf; plot(vfx); title('f(x,y) x Mean'); xlabel('Generations'); ylabel('f(x)');
             hold on; plot(vmfit,'r'); hold off;
        otherwise,
            display('Accepted values are (1) or (2) ');
   end; % End Switch ga_cga
otherwise,
   disp(sprintf('Accepted values are (1)'));
   break;
end;%End Switch p
% End Function CHOOSE


% Function CADEIA
function [ab,ag] = cadeia(n1,s1,n2,s2,bip)
%default parameter value seeting
if nargin == 2,
   n2 = n1; s2 = s1; bip = 1;
elseif nargin == 4,
   bip = 1;
end;
% Antibody (Ab) chains
ab = 2 .* rand(n1,s1) - 1;%create n1 row s1 column array, its value range is between -1 or 1
if bip == 1,
   ab = hardlims(ab);
else,
   ab = hardlim(ab);
end;
% Antigen (Ag) chains
ag = 2 .* rand(n2,s2) - 1;
if bip == 1,
   ag = hardlims(ag);
else,
   ag = hardlim(ag);
end;
% End Function CADEIA