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
Abstract : In this paper, we benchmark the (1+1) Evolution Strategy (ES) with one-fifth success rule which is one of the first and simplest adaptive search algorithms proposed for optimization. The benchmarking is conducted on the noise-free BBOB-2009 testbed. We implement a restart version of the algorithm and conduct for each run $10^{6}$ times the dimension of the search space function evaluations.
https://hal.inria.fr/inria-00430515
Contributor : Anne Auger
<>
Submitted on : Sunday, November 8, 2009 - 1:39:52 PM
Last modification on : Monday, December 9, 2019 - 5:24:06 PM
Long-term archiving on: Thursday, June 17, 2010 - 7:44:48 PM
Anne Auger. Benchmarking the (1+1) Evolution Strategy with One-Fifth Success Rule on the BBOB-2009 Function Testbed. ACM-GECCO Genetic and Evolutionary Computation Conference, Jul 2009, Montreal, Canada. ⟨inria-00430515⟩
