single cross over function for genetic algorithm

hello,

i'm working on a code for genetic algorithm and i have 2 random parents data for example

p1=[1 2 3 4 5 6 7 8 9 10] % parent #1
p2=[2 6 8 9 1 3 4 5 10 9] % parent #2

now if i want to make a single crossover on point 3 for example .. is there any specific function i can use to produce the child ?

i saw crossoversinglepoint function but i really don't know how to use it.. ps all the parents are integer numbers

thank you in advance

Abdulla Aqeel

Answer 1

[Geoff Hayes]

Abdulla - since you want a single crossover point in your list of variables, then using crossoversinglepoint seems like the correct choice. To use this function, you will need to set the GA options using gaoptimset. Something like the following would probably work for you

 options = gaoptimset('CrossoverFcn',@crossoversinglepoint);

You would then pass this object (as the last input parameter) into the ga function.

Note that you can set other properties of options as well, so you are not limited to the above single option.