Doubt regarding genetic algorithm

4 次查看（过去 30 天）
Parikshit Sharma
Parikshit Sharma 2018-5-7
评论： Parikshit Sharma 2018-5-7
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?

请先登录，再回答此问题。

采纳的回答

Alan Weiss
Alan Weiss 2018-5-7
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

更多回答（1 个）

Parikshit Sharma
Parikshit Sharma 2018-5-7
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?
  2 个评论
Alan Weiss
Alan Weiss 2018-5-7
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
Parikshit Sharma 2018-5-7
Thank you very much Alan for your prompt replies

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Genetic Algorithm 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by