How to calculate the crowding distance of the objective values ?
8 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/910375/image.jpeg)
let think I have a matrix A ,After non dominated sorting I ranked them.I have 15 variables column number (1-15) and two objectives column number(16-17) based on their objective values i ranked them from 1 to N. Now i want to get the crowding distance for both the objective values .As per the formula
CD=(next objective value - Previous objective value )/(Fmax-Fmin)
How to solve this ?I can't understand it .
0 commentaires
Réponses (1)
Ayush Modi
le 29 Sep 2023
Modifié(e) : Ayush Modi
le 11 Oct 2023
Hi,
I understand that you want to know how to implement the logic of calculating crowding distance for each objective parameter (Column 16 and 17).
You can achieve this by using “distancecrowding” inbuilt function in MATLAB Optimization Toolbox.
Alternatively, I found a solution posted in the community. You can refer to the following link:
Go to the functions tab at the top of the page. You will find two files – “CheckCrowdingDistance.m” and “non_domination_sort_mod.m”. Refer “non_domination_sort_mod.m” file for the implementation.
I have tried at my end, and both the solution is working. Hope this helps!
0 commentaires
Voir également
Catégories
En savoir plus sur Electrical Block Libraries 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!