Effacer les filtres
Effacer les filtres

Does gamultiobj produce identically independently distributed? data?

1 vue (au cours des 30 derniers jours)
Maximilian Ernst
Maximilian Ernst le 26 Sep 2016
Commenté : Alan Weiss le 26 Sep 2016
Hi
I store after each iteration of the algorithm gamultiobj the current optimal values of the objective functions in an array. When the optimization is complete, will the data in this array be in general identically independently distributed (iid)?
Thank you very much for your help. Thank you for your help

Réponses (1)

Walter Roberson
Walter Roberson le 26 Sep 2016
No. The members of the population that survive are going to be the ones that are more "fit", which is likely to cover only a subset of the available parameter space, so the survivors are going to be biased rather than statistically independent. Mutations and cross-overs create related members, not independent members.
  1 commentaire
Alan Weiss
Alan Weiss le 26 Sep 2016
Additionally, gamultiobj attempts to spread the final points approximately uniformly in function space. So the final Pareto points are far from randomly distributed.
Alan Weiss
MATLAB mathematical toolbox documentation

Connectez-vous pour commenter.

Catégories

En savoir plus sur Random Number Generation 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!

Translated by