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Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed.

Anne AugerDimo BrockhoffNikolaus Hansen
Published in: GECCO (Companion) (2010)
Keyphrases
  • evolution strategy
  • cma es
  • covariance matrix
  • selection criteria
  • machine learning
  • objective function
  • cost function
  • noisy data
  • selection algorithm
  • high impact