New genetic operators in the fly algorithm: application to medical PET image reconstruction - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2010

New genetic operators in the fly algorithm: application to medical PET image reconstruction

Franck P. Vidal
Jean Louchet
  • Fonction : Auteur
  • PersonId : 914138
Jean-Marie Rocchisani
  • Fonction : Auteur
  • PersonId : 936310
Evelyne Lutton

Résumé

Our reconstruction method is based on a cooperative coevolution strategy (also called Parisian evolution): the "fly algorithm". Each fly is a 3D point that mimics a positron emitter. The flies' position is progressively optimised using evolutionary computing to closely match the data measured by the imaging system. The performance of each fly is assessed using a "marginal evaluation" based on the positive or negative contribution of this fly to the performance of the population. Using this property, we propose a "thresholded-selection" method to replace the classical tournament method. A mitosis operator is also proposed. It is triggered to automatically increase the population size when the number of flies with negative fitness becomes too low.
Fichier principal
Vignette du fichier
Vidal2010EvoIASP.pdf (223.61 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00783832 , version 1 (01-02-2013)

Identifiants

  • HAL Id : hal-00783832 , version 1

Citer

Franck P. Vidal, Jean Louchet, Jean-Marie Rocchisani, Evelyne Lutton. New genetic operators in the fly algorithm: application to medical PET image reconstruction. EVOIASP, Evolutionary Computation in Image Analysis and Signal Processing, EvoApplications 2010, Apr 2010, Istambul, Turkey. ⟨hal-00783832⟩
241 Consultations
338 Téléchargements

Partager

More