nonunifm.m

遗传算法的源程序

function [parent] = nonUnifMutate(parent,bounds,Ops)

% Non uniform mutation changes one of the parameters of the parent
% based on a non-uniform probability distribution.  This Gaussian
% distribution starts wide, and narrows to a point distribution as the
% current generation approaches the maximum generation.
% 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 nonUnifMutate[gen #NonUnifMutations maxGen b]

cg=Ops(1); 				% Current Generation
mg=Ops(3);                              % Maximum Number of Generations
b=Ops(4);                               % Shape parameter
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 to number of vars
mPoint = round(rand * (numVar-1)) + 1;
md = round(rand); 			% Choose a direction of mutation
if md 					% Mutate towards upper bound
  newValue=parent(mPoint)+delta(cg,mg,bounds(mPoint,2)-parent(mPoint),b);
else 					% Mutate towards lower bound
  newValue=parent(mPoint)-delta(cg,mg,parent(mPoint)-bounds(mPoint,1),b);
end
parent(mPoint) = newValue; 		% Make the child
end