why the penalty of ga, when all the population violates the nonlinear constraints, is smaller than the penalty of feasible populations?
3 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
I have integer problem with nonlinear constraints. So, at the beggining there are only few integer options (the problem's boundary increases through time) and sometimes all the populations my violate the non-linear constraint. For example, the penalityt value of the first generation with feasible population is 5, then ga assignes penality value 1 when the entire population in the second generation violates the non-linear constraint.
4 Commenti
Risposte (1)
Jasvin
il 21 Set 2023
Hi Emebet,
So, this is a problem that exists with all optimization algorithms in MATLAB. The following MATLAB Answers post would help you gain more insight into what is happening and provide helpful links:
Hope this helps!
0 Commenti
Vedere anche
Categorie
Scopri di più su Systems of Nonlinear Equations in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!