osinglepointmutation.sci

基于SCILAB的The Genetic Algorithm Toolbox for SCILAB (GATS)工具箱

function [p]= OSinglePointMutation(p1,bounds,Ops)
// function [c1,c2] = singlePtXover(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].

rng         = (bounds(:,2)-bounds(:,1))';         // The variable ranges'
numArranges     = rng + 1; 		          // Number of each arrages
cumArranges = cumsum([0 numArranges]);
xZomeLength = sum(numArranges)+1; 		  // Length of string is numVar + fit
p=p1;
for i= 1:size(numArranges,2)
    sz=numArranges(i);
    pfrom=(cumArranges(i)+1);
    pto=cumArranges(i+1);
    cut = ceil(rand(1)*sz);                          //Generate random cut point U(1,n)
    c=p1(pfrom+cut-1);
    p((cut+pfrom-1):(pto-1))=p1((cut+pfrom):(pto));
    p(pto)=c;

end