Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite

Anne Auger 1, 2 Dimo Brockhoff 2, 3 Nikolaus Hansen 1, 2 Dejan Tušar 2, 3 Tea Tušar 2, 3 Tobias Wagner 4
1 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : In this paper, we benchmark the Regularity Model-Based Multiobjective Estimation of Distribution Algorithm (RM-MEDA) of Zhang et al. on the bi-objective bbob-biobj test suite of the Comparing Continuous Optimizers (COCO) platform. It turns out that, starting from about 200 times dimension many function evaluations, RM-MEDA shows a linear increase in the solved hypervolume-based target values with time until a stagnation of the performance occurs rather quickly on all problems. The final percentage of solved hy-pervolume targets seems to decrease with the problem dimension .
Type de document :
Communication dans un congrès
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, Jul 2016, Denver, CO, United States. pp.1241-1247, 〈10.1145/2908961.2931707〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01435449
Contributeur : Dimo Brockhoff <>
Soumis le : samedi 14 janvier 2017 - 00:35:03
Dernière modification le : vendredi 13 avril 2018 - 01:28:09
Document(s) archivé(s) le : samedi 15 avril 2017 - 12:28:19

Fichier

wk0810-auger-RM-MEDA-authorver...
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tušar, Tea Tušar, et al.. Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, Jul 2016, Denver, CO, United States. pp.1241-1247, 〈10.1145/2908961.2931707〉. 〈hal-01435449〉

Partager

Métriques

Consultations de la notice

414

Téléchargements de fichiers

103