Optimization, block designs and No Free Lunch theorems

  • Authors:
  • Evan J. Griffiths;Pekka Orponen

  • Affiliations:
  • Laboratory for Theoretical Computer Science, P.O. Box 5400, FI-02015 Helsinki University of Technology, Finland;Laboratory for Theoretical Computer Science, P.O. Box 5400, FI-02015 Helsinki University of Technology, Finland

  • Venue:
  • Information Processing Letters
  • Year:
  • 2005

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Abstract

We study the precise conditions under which all optimization strategies for a given family of finite functions yield the same expected maximization performance, when averaged over a uniform distribution of the functions. In the case of bounded-length searches in a family of Boolean functions, we provide tight connections between such ''No Free Lunch'' conditions and the structure of t-designs and t-wise balanced designs for arbitrary values t. As a corollary, we obtain a nontrivial family of n-variate Boolean functions that satisfies the ''No Free Lunch'' condition with respect to searches of length @W(n^1^/^2/log^1^/^2n). Modifying the construction, we also obtain nontrivial ''No Free Lunch'' families of functions with large ranges.