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Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed

Published:20 July 2016Publication History

ABSTRACT

The population size adaptation mechanism for CMA-ES is evaluated on the BBOB noiseless testbed. The population size is adapted on the basis of the estimated accuracy of the update of the distribution parameters, i.e., the mean vector and the covariance matrix of the Gaussian distribution. The population size is adapted so that the estimated accuracy of the parameter update keeps a certain level. The CMA- ES with the population size adaptation mechanism could solve well-structured multimodal functions as efficiently as the best 2009 portfolio without a restart strategy that in- creases the population size every restart such as the IPOP strategy.

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    • Published in

      cover image ACM Conferences
      GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
      July 2016
      1510 pages
      ISBN:9781450343237
      DOI:10.1145/2908961

      Copyright © 2016 ACM

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      Publication History

      • Published: 20 July 2016

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      GECCO '16 Companion Paper Acceptance Rate137of381submissions,36%Overall Acceptance Rate1,669of4,410submissions,38%

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