arithxover.m
来自「研究多年的遗传算法代码!与大家共享!能实现最优化算法!」· M 代码 · 共 36 行
M
36 行
function [c1,c2] = arithXover(p1,p2,bounds,Ops)
% Arith crossover takes two parents P1,P2 and performs an interpolation
% along the line formed by the two parents.
%
% function [c1,c2] = arithXover(p1,p2,bounds,Ops)
% p1 - the first parent ( [solution string function value] )
% p2 - the second parent ( [solution string function value] )
% bounds - the bounds matrix for the solution space
% Ops - Options matrix for arith crossover [gen #ArithXovers]
% Binary and Real-Valued Simulation Evolution for Matlab
% Copyright (C) 1996 C.R. Houck, J.A. Joines, M.G. Kay
%
% C.R. Houck, J.Joines, and M.Kay. A genetic algorithm for function
% optimization: A Matlab implementation. ACM Transactions on Mathmatical
% Software, Submitted 1996.
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 1, or (at your option)
% any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details. A copy of the GNU
% General Public License can be obtained from the
% Free Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
% Pick a random mix amount
a = rand; %liu not changed
% Create the children
c1 = round(p1.*a + p2.*(1-a));
c2 = round(p1.*(1-a) + p2.*a);
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