CrossOver in Matlab -

i ask how performe crossover in genetic algorithm using matlab. let suppose have following 2 sequences,

sequence1 = 1 2 3 7 9 10 5 4 6 8

sequence2 = 4 3 9 2 1 7 6 10 8 5

now know how make code perform crossover in matlab such new child sequence cross-overed either @ single-point or two-point , result has no repetition of number in child sequence.

regards,

with 1 point crossover have unique points in range 1..numel(sequence)-1. n unique numbers can use randperm. 2 point crossover bit more difficult, total number of unique combinations sum of arithmetical progression 1..numel(sequence)-2.

here example of single point crossover:

function [result] = crossoveratpoint(sequence1, sequence2, point)     result = [sequence1(1:point-1), sequence2(point:end)]; end  function [result] = crossoversinglepoint(sequence1, sequence2, number)     len = numel(sequence1); % calculate length     points = randperm(len-1, number)+1; % generate set of crossover points in range 2..len     result = zeros(number, len); % preallocate matrix     = 1:number         result(i,:) = crossoveratpoint(sequence1, sequence2, points(i));     end end  seq1 = [1 2 3 7 9 10 5 4 6 8]; seq2 = [4 3 9 2 1 7 6 10 8 5]; crossoversinglepoint(seq1, seq2, 3) 

the result similar one:

1    2    3    7    9   10    5    4    8    5 1    2    9    2    1    7    6   10    8    5 1    2    3    7    1    7    6   10    8    5 

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update.

this function guarantees pivot unique children. not guarantee children have unique elements (this requirement sounds strangely wrong me), have make manual check that.