What is gamultiobj adaptivefeasible mutation function's scaling factor and how to change it

Hello Community,

I have a multi-objective function being optimized by genetic algorithm gamultiobj. I understand the mutation adapativefeasible follows the trend such that at the end of the run all population have similar scores.

I would like to ensure that there would still have sufficient amount of completely random mutations at the end such that the algorithm may reach a closer to 0 score even when most of the current generation have a similar small-but-not-small-enough score. Can I do that with adaptfeasible or must I write a custom mutation function?

Any help is greatly appreciated.

Thanks!