uniformm.m

王小平《遗传算法——理论、应用与软件实现》随书光盘

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 
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