How does the crossover and mutation in Matlab multiobjective optimization work?

The documentation says that if my cross-over fraction is 0.8, 80% of the offsprings other that elite childrens are formed from crossover while the remaining from mutation. But, I want to set my crossover rate to 0.95 and mutation rate to 0.01. How is that possible?

Answer 1

[Umang Pandey]

Hi Rajan,

Based on my understanding, it seems that you would like to set fixed values of 0.95 and 0.01 for crossover and mutation, respectively.

To achieve this, you can utilize the “optimoptions” function and specify the “CrossoverFraction” and “MutationFcn” options, as demonstrated below:

options = optimoptions('ga', 'CrossoverFraction', 0.95, 'MutationFcn', {@mutationuniform, 0.01}); 

For further details, refer the documentation available at the following link:

https://www.mathworks.com/help/gads/vary-mutation-and-crossover.html