Doubt regarding genetic algorithm

I am using optimization toolbox to solve mixed integer optimization problem by specifying variables to integer variables, my question is what is the probability that a crossover child is being muted for producing next generation i know we can specify percentage for crossover but what is probability of mutation?

Answer 1

[Alan Weiss]

As explained in the documentation (step 2e), children are EITHER mutation OR crossover. One or the other. So the probability that a child is from mutation is 1 - the probability that the child is from crossover.

If I misunderstood your question, feel free to ask again.

Alan Weiss

MATLAB mathematical toolbox documentation

Answer 2

[Parikshit Sharma]

Thanks Alan for your response it means that

children from elite count + children from crossover + children from mutation = population size

right?

Now my question is that whether these children from mutation are produced by mutating children produced from crossover or mutating parent generation directly?

[Alan Weiss]

Both crossover and mutation children are produced from parents. To quote from the documentation of step 2e:

"e. Produces children from the parents. Children are produced either by making random changes to a single parent—mutation—or by combining the vector entries of a pair of parents—crossover."

Alan Weiss

MATLAB mathematical toolbox documentation

[Parikshit Sharma]

Thank you very much Alan for your prompt replies