www.pudn.com > matlab.rar > unifMutation.m, change:1996-02-06,size:1651b

function [parent] = uniformMutate(parent,bounds,Ops) % Uniform mutation changes one of the parameters of the parent % based on a uniform probability distribution. % % function [newSol] = multiNonUnifMutate(parent,bounds,Ops) % parent - the first parent ( [solution string function value] ) % bounds - the bounds matrix for the solution space % Ops - Options for uniformMutation [gen #UnifMutations] % 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. df = bounds(:,2) - bounds(:,1); % Range of the variables numVar = size(parent,2)-1; % Get the number of variables % Pick a variable to mutate randomly from 1-number of vars mPoint = round(rand * (numVar-1)) + 1; newValue = bounds(mPoint,1)+rand * df(mPoint); % Now mutate that point parent(mPoint) = newValue; % Make the child end