• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics

  • BibTeX
  • CSV
  • Excel
  • RIS

22 Years of Paradiseo

Document type :
Communication dans un congrès avec actes
DOI :
10.1145/3449726.3463276
Title :
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics
22 Years of Paradiseo
Author(s) :
Dreo, Johann [Auteur]
Biologie systémique - Systems Biology
Liefooghe, Arnaud [Auteur] refId
Optimisation de grande taille et calcul large échelle [BONUS]
Verel, Sébastien [Auteur]
Laboratoire d'Informatique Signal et Image de la Côte d'Opale [LISIC]
Schoenauer, Marc [Auteur]
TAckling the Underspecified [TAU]
Merelo, Juan [Auteur]

Quemy, Alexandre [Auteur]
Poznan University of Technology [PUT]
Bouvier, Benjamin [Auteur]
Chercheur indépendant
Gmys, Jan [Auteur]
Optimisation de grande taille et calcul large échelle [BONUS]
Conference title :
GECCO 2021 - Genetic and Evolutionary Computation Conference
Conference organizers(s) :
ACM Sigevo
City :
Lille / Virtual
Country :
France
Start date of the conference :
2021-07-10
Book title :
2021 Genetic and Evolutionary Computation Conference Companion
Journal title :
2021 Genetic and Evolutionary Computation Conference Companion
Publisher :
ACM
English keyword(s) :
Software Framework
Evolutionary Computation
Metaheuristics
Automated Algorithm Design
HAL domain(s) :
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Logiciel mathématique [cs.MS]
English abstract : [en]
The success of metaheuristic optimization methods has led to the development of a large variety of algorithm paradigms. However, no algorithm clearly dominates all its competitors on all problems. Instead, the underlying ...
Show more >
The success of metaheuristic optimization methods has led to the development of a large variety of algorithm paradigms. However, no algorithm clearly dominates all its competitors on all problems. Instead, the underlying variety of landscapes of optimization problems calls for a variety of algorithms to solve them efficiently. It is thus of prior importance to have access to mature and flexible software frameworks which allow for an efficient exploration of the algorithm design space. Such frameworks should be flexible enough to accommodate any kind of metaheuristics, and open enough to connect with higherlevel optimization, monitoring and evaluation softwares. This article summarizes the features of the Paradiseo framework, a comprehensive C++ free software which targets the development of modular metaheuristics. Paradiseo provides a highly modular architecture, a large set of components, speed of execution and automated algorithm design features, which are key to modern approaches to metaheuristics development.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
Files
Thumbnail
  • https://hal-pasteur.archives-ouvertes.fr/pasteur-03220556/document
  • Open access
  • Access the document
Thumbnail
  • https://hal-pasteur.archives-ouvertes.fr/pasteur-03220556/document
  • Open access
  • Access the document
Thumbnail
  • http://arxiv.org/pdf/2105.00420
  • Open access
  • Access the document
Thumbnail
  • https://hal-pasteur.archives-ouvertes.fr/pasteur-03220556/document
  • Open access
  • Access the document
Université de Lille

Mentions légales
Université de Lille © 2017