A Unified Model for Evolutionary Multiobjective Optimization and its Implementation in a General Purpose Software Framework: ParadisEO-MOEO

Arnaud Liefooghe 1, 2, * Laetitia Jourdan 1, 2 El-Ghazali Talbi 1, 2
* Auteur correspondant
2 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : This paper gives a concise overview of evolutionary algorithms for multiobjective optimization. A substantial number of evolutionary computation methods for multiobjective problem solving has been proposed so far, and an attempt of unifying existing approaches is here presented. Based on a fine-grained decomposition and following the main issues of fitness assignment, diversity preservation and elitism, a conceptual global model is proposed and is validated by regarding a number of state-of-the-art algorithms as simple variants of the same structure. The presented model is then incorporated into a general-purpose software framework dedicated to the design and the implementation of evolutionary multiobjective optimization techniques: ParadisEO-MOEO. This package has proven its validity and flexibility by enabling the resolution of many real-world and hard multiobjective optimization problems.
Type de document :
Rapport
[Research Report] RR-6906, INRIA. 2009
Liste complète des métadonnées

Littérature citée [47 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00376770
Contributeur : Arnaud Liefooghe <>
Soumis le : lundi 20 avril 2009 - 11:17:29
Dernière modification le : jeudi 11 janvier 2018 - 06:22:13
Document(s) archivé(s) le : jeudi 10 juin 2010 - 18:41:37

Fichiers

RR-6906.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00376770, version 1
  • ARXIV : 0904.2987

Citation

Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi. A Unified Model for Evolutionary Multiobjective Optimization and its Implementation in a General Purpose Software Framework: ParadisEO-MOEO. [Research Report] RR-6906, INRIA. 2009. 〈inria-00376770〉

Partager

Métriques

Consultations de la notice

681

Téléchargements de fichiers

569