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What exactly does mutationadaptfeasible do in genetic algorithm?

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I am using MATLAB to optimize an objective function with genetic algorithm. Because I have a lower bound for the variable, I am using mutationadaptfeasible to do mutations. The website explains mutationadaptfeasible: "The mutation chooses a direction and step length that satisfies bounds and linear constraints."
Unfortunately, this is a little handwavy to me. Could someone kindly explain what exactly mutationadaptfeasible does? I tried Google, but it seems that there are only similar questions left unanswered .

Accepted Answer

Walter Roberson
Walter Roberson on 4 Jul 2016
You can read the source.
dbtype(which('mutationadaptfeasible'))
  5 Comments
Eric Zhang
Eric Zhang on 11 Jul 2016
@Alan Thanks a lot for replying, and sorry for my late reply. In my case, the reason why I want to know how it works is that I intend to use it in my research problem. In writing a paper, one has to explain how each step is designed, even though it may be just one line of code from an existing tool box. So I don't want (or need) to go deep to the code-level details. Only algorithmic descriptions are enough (as long as they are "scientific", e.g., the documentation for mutationgaussian at http://www.mathworks.com/help/gads/genetic-algorithm-options.html#f6633 is at the perfect level for my purpose). Thanks!
Eric Zhang
Eric Zhang on 11 Jul 2016
Edited: Eric Zhang on 11 Jul 2016
@Walter Thanks a lot for answering and replying, and sorry for my late reply. You are absolutely right. The documentation level I need is at the algorithm level (see my comment to Alan above). I shouldn't have used the word "exactly." But you see, the documentation for mutationadaptfeasible is not even at the algorithmic level.

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More Answers (1)

Tsai Han Hao
Tsai Han Hao on 19 Mar 2024
I think for the adaptive mutation algorithm, you can refer to Chapter4: Representation, Mutation, and Recombination in Introduction to Evolutionary Computing
Here' the link below:

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