Benchmarking a BI-Population CMA-ES on the BBOB-2009 Function Testbed

Nikolaus Hansen 1, 2
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
Abstract : We propose a multistart CMA-ES with equal budgets for two interlaced restart strategies, one with an increasing population size and one with varying small population sizes. This BI-population CMA-ES is benchmarked on the BBOB-2009 noiseless function testbed and could solve 23, 22 and 20 functions out of 24 in search space dimensions 10, 20 and 40, respectively, within a budget of less than $10^6 D$ function evaluations per trial.
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Conference papers
ACM-GECCO Genetic and Evolutionary Computation Conference, Jul 2009, Montreal, Canada. 2009
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https://hal.inria.fr/inria-00382093
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Submitted on : Thursday, May 7, 2009 - 1:14:22 PM
Last modification on : Thursday, February 9, 2017 - 3:51:50 PM
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Nikolaus Hansen. Benchmarking a BI-Population CMA-ES on the BBOB-2009 Function Testbed. ACM-GECCO Genetic and Evolutionary Computation Conference, Jul 2009, Montreal, Canada. 2009. <inria-00382093>

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