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

Dreo, Johann; Liefooghe, Arnaud; Verel, Sébastien; Schoenauer, Marc; Merelo, Juan; Quemy, Alexandre; Bouvier, Benjamin; Gmys, Jan

22 Years of Paradiseo

Document type :

Communication dans un congrès avec actes

DOI :

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]

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]
Universidad de Granada = University of Granada [UGR]
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 :