Convergence in genetic algorithm method
10 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Johan Johan
am 28 Jul. 2019
Beantwortet: Walter Roberson
am 28 Jul. 2019
Hi
I used the genetic algorithm, in general idea about this method ,the convergence and the number of iteration is related by what?
In other hand how to solve the problem of convergence(number of gradients) ? and how i can control the number of iteration in next picture?
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/231659/image.jpeg)
0 Kommentare
Akzeptierte Antwort
Walter Roberson
am 28 Jul. 2019
"I used the genetic algorithm, in general idea about this method ,the convergence and the number of iteration is related by what?"
No-one knows. There have been successful theoretical analysis for genetic algorithm convergence for some kinds of functions, and some functions appear to converge in practice, but for other functions it is not known whether genetic algorithms converge at all.
"In other hand how to solve the problem of convergence(number of gradients) ?"
On the scale of that diagram, the search looks like it might have converged. But remember that there is a large difference between "convergence" and "finding the global minima". You can easily construct functions where the global minima cannot be found through any search algorithm:
f = @(x) 1000 - (x == 0.1688799713442523664497230129200033843517303466796875)
0 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Genetic Algorithm finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!