gusucode.com > 遗传算法 gaot工具箱matlab源码程序 > code_rar/gaot/cyclicXover.m
function [c1,c2] = cyclicXover(p1,p2,bounds,Ops) % Cyclic crossover takes two parents P1,P2 and performs cyclic % crossover by Davis on permutation strings. % % function [c1,c2] = cyclicXover(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 simple crossover [gen #SimpXovers]. % 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. sz = size(p1,2); c1=zeros(1,sz); c2=zeros(1,sz); pt=find(p1==1); while (c1(pt)==0) c1(pt)=p1(pt); pt=find(p1==p2(pt)); end left=find(c1==0); c1(left)=p2(left); pt=find(p2==1); while (c2(pt)==0) c2(pt)=p2(pt); pt=find(p2==p1(pt)); end left=find(c2==0); c2(left)=p1(left);