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

  • Authors:

  • Anne Auger;Dimo Brockhoff;Nikolaus Hansen

  • Affiliations:

  • INRIA Saclay--Ile-de-France, Orsay, France;INRIA Saclay--Ile-de-France, Orsay, France;INRIA Saclay--Ile-de-France, Orsay, France

  • Venue:
  • Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2010

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Abstract

This paper investigates the impact of sequential selection, a concept recently introduced for Evolution Strategies (ESs). Sequential selection performs the evaluations of the different candidate solutions sequentially and concludes the iteration immediately if one offspring is better than the parent. In this paper, the (1,4s)-CMA-ES, where sequential selection is implemented, is compared on the BBOB-2010 noiseless testbed to the (1,4)-CMA-ES. For each strategy, an independent restart mechanism is implemented. A total budget of 104 D function evaluations per trial has been used, where D is the dimension of the search space. The experiments show for the (1,4s)-CMA-ES a statistically significant worsening compared to the (1,4)-CMA-ES only on the attractive sector function but a significant improvement by about 20% on 5 out of the 24 BBOB-2010 functions (sphere, separable and rotated ellipsoid, discus, and sum of different powers).