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Benchmarking the (1+1) Evolution Strategy with One-Fifth Success Rule on the BBOB-2009 Function Testbed
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.
Cited literature [9 references]
https://hal.inria.fr/inria-00430515
Contributor : Anne Auger <>
Submitted on : Sunday, November 8, 2009 - 1:39:52 PM
Last modification on : Tuesday, April 21, 2020 - 1:07:57 AM
Document(s) archivé(s) le : Thursday, June 17, 2010 - 7:44:48 PM
Contributor : Anne Auger <>
Submitted on : Sunday, November 8, 2009 - 1:39:52 PM
Last modification on : Tuesday, April 21, 2020 - 1:07:57 AM
Document(s) archivé(s) le : Thursday, June 17, 2010 - 7:44:48 PM
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wk2037-auger.pdf
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