function [ fitness ] = SGA_FITNESS_function( X , Y , Z )
% /*M-FILE FUNCTION SGA_FITNESS_function MMM SGALAB */ %
% /*==================================================================================================
% Simple Genetic Algorithm Laboratory Toolbox for Matlab 7.x
%
% Copyright 2010 The SxLAB Family - Yi Chen - leo.chen.yi@gmail.com
% ====================================================================================================
%
%File description:
%
% [1]for both single objective and multi objective problems,
%
% [2]accept stand-alone variables and matrix variables, e.g.
%
% (1) stand-alone variables, fitness(x,y,z)
%
% (2) matrix variables,
% fitness([x,y,z;x,y,z],[x,y,z;x,y,z],[x,y,z;x,y,z])
%
%Input:
% User define-- in the format ( x1, x2, x3,... )
%Output:
% fitness-- is the fitness value
%
%Appendix comments:
%
% 02-Dec-2009 Chen Yi
% obsolete SGA__fitness_MO_evaluating.m
% SGA_FITNESS_MO_function.m
% use SGA__fitness_evaluating.m
% SGA_FITNESS_function.m (for both single objective and multi
% objective problems )
%
%Usage:
% [ fitness ] = SGA_FITNESS_function( xi,... )
%===================================================================================================
% See Also:
%
%===================================================================================================
%
%===================================================================================================
%Revision -
%Date Name Description of Change email Location
%27-Jun-2003 Chen Yi Initial version chen_yi2000@sina.com Chongqing
%14-Jan-2005 Chen Yi update 1003 chenyi2005@gmail.com Shanghai
%02-Dec-2009 Chen Yi obsolete
% SGA__fitness_MO_evaluating.m
% SGA_FITNESS_MO_function.m, use
% SGA_FITNESS_function for both single and multi
% objective problems
%HISTORY$
%==================================================================================================*/
%SGA_FITNESS_function begin
fitness = 0;
N = 40; % 10000
alpha = 0.8;
for indx = 1 : 1 : length(X)
%%%%%%%%%%%%%%%%%%%%%%% Single objective %%%%%%%%%%%%%%%%%%%%%%%
fitness = fitness + X(indx).*Y(indx)/(Z(indx) + alpha.*(N - Z(indx) ));
end
%%%%%%%%%%%%%%%%%%%%%%% Multi objectives %%%%%%%%%%%%%%%%%%%%%%%
%fitness = [ fitness, 1./fitness];
%SGA_FITNESS_function end
