I need a mutation function with good convergence but working with bounded individuals bound
1 回表示 (過去 30 日間)
古いコメントを表示
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/964610/image.jpeg)
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 件のコメント
John D'Errico
2022 年 4 月 14 日
編集済み: John D'Errico
2022 年 4 月 14 日
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?
回答 (0 件)
参考
カテゴリ
Help Center および File Exchange で Polynomials についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!