MILP using Genetic algorithm - penalty value increases beyond the global minimum
5 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Udayanka Mulleriyawage
le 16 Août 2019
Commenté : Udayanka Mulleriyawage
le 5 Mar 2020
I have been using GA to solve a minimization problem and this involves interger variables as well. My programm is working fine except for one abnormality observed in the penalty value vs generations graph.
As you cna see here, (Best value in Black and mean value in blue) best values jumps from around 0 to 1.3. Has anyone come across a similar issue and how you could oivercome it.
Thanks.
0 commentaires
Réponse acceptée
Dheeraj Singh
le 23 Août 2019
You can refer to the following example in the link to know more about solving MILP using GA:
Alternatively, if you are trying to solve MILP it would be more robust to use intlinprog. Also, you can verify your results you get from GA algorithm and see if there is any abnormality.
You can refer to the following link to know more about solving MILP using GA:
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Linear Programming and Mixed-Integer Linear Programming dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!