Black-Box Optimization Benchmarking the IPOP-CMA-ES on the Noiseless Testbed - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

Black-Box Optimization Benchmarking the IPOP-CMA-ES on the Noiseless Testbed

Raymond Ros
  • Function : Author
  • PersonId : 868664
Machine Learning and Optimisation

Abstract

We benchmark the Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) algorithm with an Increasing POPulation size (IPOP) restart policy on the BBOB noiseless testbed. The IPOP-CMA-ES is compared to the BIPOP-CMA-ES and is shown to perform at best two times faster on multi-modal functions f15 to f19 whereas it does not solve weakly structured functions f22, f23 and f24.

Domains

Numerical Analysis [cs.NA]
Fichier principal
Vignette du fichier
ws1p12-ros.pdf (1.21 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Raymond Ros  : Connect in order to contact the contributor

https://inria.hal.science/inria-00473777

Submitted on : Friday, April 16, 2010-2:05:47 PM

Last modification on : Monday, February 12, 2024-9:48:04 AM

Long-term archiving on: Tuesday, September 28, 2010-12:41:05 PM

Download

Dates and versions

inria-00473777 , version 1 (16-04-2010)

Identifiers

  • HAL Id : inria-00473777 , version 1

Cite

Raymond Ros. Black-Box Optimization Benchmarking the IPOP-CMA-ES on the Noiseless Testbed. Genetic and Evolutionary Computation Conference 2010, Jul 2010, Portland, OR, United States. ⟨inria-00473777⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

EC-PARIS UNIV-RENNES1 CNRS INRIA IRISA UMR8623 INRIA2 LRI-AO UR1-MATH-STIC UNIV-PARIS-SACLAY UR1-UFR-ISTIC UNIV-RENNES UR1-MATH-NUM
179 View
441 Download

Share

Gmail Facebook X LinkedIn More