The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite

Anne Auger 1 Dimo Brockhoff 2 Nikolaus Hansen 1 Dejan Tušar 2 Tea Tušar 2 Tobias Wagner 3
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
2 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
3 TU - Technische Universität Dortmund [Dortmund]
Abstract : The S-metric-Selection Evolutionary Multi-objective Optimization Algorithm (SMS-EMOA) is one of the best-known indicator-based multi-objective optimization algorithms. It employs the S-metric or hypervolume indicator in its (steady-state) selection by deleting in each iteration the solution that has the smallest contribution to the hypervolume indicator. In the SMS-EMOA, the conceptual idea is this hypervolume-based selection. Hence the algorithm can, for example, be combined with several variation operators. Here, we benchmark two versions of SMS-EMOA which employ differential evolution (DE) and simulated binary crossover (SBX) with polynomial mutation (PM) respectively on the newly introduced bi-objective bbob-biobj test suite of the Comparing Continuous Optimizers (COCO) platform. The results un-surprisingly reveal that the choice of the variation operator is crucial for performance with a clear advantage of the DE variant on almost all functions.
Keywords : Benchmarking Black-box optimization Bi-objective optimization
Document type :
Conference papers
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download
https://hal.inria.fr/hal-01435456
Contributor : Dimo Brockhoff <>
Submitted on : Saturday, January 14, 2017 - 12:53:45 AM
Last modification on : Sunday, July 21, 2019 - 1:48:07 AM
Long-term archiving on : Saturday, April 15, 2017 - 12:23:20 PM

File

wk0808-auger-SMSEMOAcomp-autho...
Files produced by the author(s)

Identifiers

Collections

INSMI | TDS-MACS | UMR8623 | INRIA | LRI-AO | CENTRALESUPELEC | UNIV-PARIS-SACLAY | CRISTAL | UNIV-LILLE

Citation

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tušar, Tea Tušar, et al.. The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite. GECCO 2016 - Genetic and Evolutionary Computation Conference, Jul 2016, Denver, CO, United States. pp.1225 - 1232, ⟨10.1145/2908961.2931705⟩. ⟨hal-01435456⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

1059

Files downloads

191

Contact


archive-ouverte@inria.fr