Threshold selection, mitosis and dual mutation in cooperative co-evolution: application to medical 3d tomography - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

Threshold selection, mitosis and dual mutation in cooperative co-evolution: application to medical 3d tomography

Abstract

We present and analyse the behaviour of specialised operators designed for cooperative coevolution strategy in the framework of 3D tomographic PET reconstruction. The basis is a simple cooperative co-evolution scheme (the "fly algorithm"), which embeds the searched solution in the whole population, letting each individual be only a part of the solution. An individual, or fly, is a 3D point that emits positrons. Using a cooperative co-evolution scheme to optimize the position of positrons, the population of flies evolves so that the data estimated from flies matches measured data. The final population approximates the radioactivity concentration. In this paper, three operators are proposed, threshold selection, mitosis and dual mutation, and their impact on the algorithm efficiency is experimentally analysed on a controlled test-case. Their extension to other cooperative co-evolution schemes is discussed.
Fichier principal
Vignette du fichier
Vidal2010PPSN.pdf (440.81 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00783841 , version 1 (01-02-2013)

Identifiers

  • HAL Id : hal-00783841 , version 1

Cite

Franck P. Vidal, Evelyne Lutton, Jean Louchet, Jean-Marie Rocchisani. Threshold selection, mitosis and dual mutation in cooperative co-evolution: application to medical 3d tomography. PPSN 2010, 11th International Conference on Parallel Problem Solving From Nature., Sep 2010, Krakow, Poland. ⟨hal-00783841⟩
197 View
336 Download

Share

Gmail Facebook X LinkedIn More