ParadisEO-MO: From Fitness Landscape Analysis to Efficient Local Search Algorithms

Humeau, Jérémie; Liefooghe, Arnaud; Talbi, El-Ghazali; Verel, Sébastien

Document type :

Article dans une revue scientifique: Article original

DOI :

10.1007/s10732-013-9228-8

Title :

ParadisEO-MO: From Fitness Landscape Analysis to Efficient Local Search Algorithms

Author(s) :

Humeau, Jérémie [Auteur]
Centre for Digital Systems [CERI SN - IMT Nord Europe]
Liefooghe, Arnaud [Auteur correspondant]

Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Talbi, El-Ghazali [Auteur]

Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Verel, Sébastien [Auteur]
Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Groupe SCOBI
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]

Journal title :

Journal of Heuristics

Pages :

881-915

Publisher :

Springer Verlag

Publication date :

2013

ISSN :

1381-1231

HAL domain(s) :

Computer Science [cs]/Operations Research [math.OC]

English abstract : [en]

This paper presents a general-purpose software framework dedicated to the design, the analysis and the implementation of local search metaheuristics: ParadisEO-MO. A substantial number of single solution-based local search ...
Show more >This paper presents a general-purpose software framework dedicated to the design, the analysis and the implementation of local search metaheuristics: ParadisEO-MO. A substantial number of single solution-based local search metaheuristics has been proposed so far, and an attempt of unifying existing approaches is here presented. Based on a fine-grained decomposition, a conceptual model is proposed and is validated by regarding a number of state-of-the-art methodologies as simple variants of the same structure. This model is then incorporated into the ParadisEO-MO software framework. This framework has proven its efficiency and high flexibility by enabling the resolution of many academic and real-world optimization problems from science and industry.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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