function [child] = adjswapmutation(par,bounds,genInfo,Ops)% Adjswap mutation performs a swap of two adjacent% genes in a permutation%% function [newSol] = adjswapmutation(parent,bounds,Ops)% parent  - the first parent ( [solution string function value] )% bounds  - the bounds matrix for the solution space% Ops     - Options for binaryMutation [gen prob_of_mutation]% 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(par,2)-1;pos = round(rand*(sz-1) + 0.5); %Generate U(1,n-1)child = par;child(pos:pos+1)=[par(pos+1) par(pos)];