I need a mutation function with good convergence but working with bounded individuals bound
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Hi all
I'm developing a code for finding fitting parameters of a polynomial.
When I used the gaussian mutation function it gave a good conversion as shown in the figure (bottom image) but the upper image shows the problem of unbound negative solution, I need the gaussian convergence but with bound individuals.
By using the mutationadaptfeasible the convergence was slow, Is there any options for controlling the mutationadaptfeasible convergence?
I'm using Matlab R2018a
2 Comments
John D'Errico
on 14 Apr 2022
Edited: John D'Errico
on 14 Apr 2022
The thing is, I cannot figure out why you want to fit a polynomial using a genetic algorithm. Given that there are vastly bettter schemes to estimate the coefficients of a polynomial fit, why? Let me guess. A homework assignment, designed to make you work like hell to do a poor job on something you would not want to do in practice, in a million years?
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