Reducing the arity in unbiased black-box complexity

  • Authors:
  • Benjamin Doerr;Carola Winzen

  • Affiliations:
  • Max-Planck-Institut für Informatik, Saarbruecken, Germany;Max-Planck-Institut für Informatik, Saarbruecken, Germany

  • Venue:
  • Proceedings of the 14th annual conference on Genetic and evolutionary computation
  • Year:
  • 2012

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Abstract

We show that for all 1 k d log n the k-ary unbiased black-box complexity of the n-dimensional OneMax function class is O(n/k). This indicates that the power of higher arity operators is much stronger than what the previous O(n/log k) bound by Doerr et al. (Faster black-box algorithms through higher arity operators, Proc. of FOGA 2011, pp. 163--172, ACM, 2011) suggests. The key to this result is an encoding strategy, which might be of independent interest. We show that, using k-ary unbiased variation operators only, we may simulate an unrestricted memory of size O(2k) bits.