Sieves method in fuzzy control: logarithmically increase the number of rules - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Sieves method in fuzzy control: logarithmically increase the number of rules

Résumé

The Sieves method, in statistics, consists in extending a model progressively, as new data are made available. Typically, parameters are progressively added in a statistical estimation method while new samples are provided. We propose an adaptation of the Sieves method in optimization. Decision variables are progressively added while new fitness evaluations are received. We experiment the method on a simple set of noisy optimization problems, and then on a fuzzy control problem applied to unit commitment. The obtained algorithm is simple, applicable to various optimization algorithms (not only evolutionary optimization), and seemingly robust.
Fichier principal
Vignette du fichier
pwfuzzy.pdf (3.64 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01215806 , version 1 (15-10-2015)

Identifiants

  • HAL Id : hal-01215806 , version 1

Citer

Vincent Berthier, Olivier Teytaud. Sieves method in fuzzy control: logarithmically increase the number of rules. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. pp.1 - 9. ⟨hal-01215806⟩
141 Consultations
113 Téléchargements

Partager

Gmail Facebook X LinkedIn More