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Faster black-box algorithms through higher arity operators

  • Benjamin Doerr
  • , Daniel Johannsen
  • , Timo Kötzing
  • , Per Kristian Lehre
  • , Markus Wagner
  • , Carola Winzen
  • Max-Planck-Institut fur Informatik
  • Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

68 Citations (Scopus)

Abstract

We extend the work of Lehre and Witt (GECCO 2010) on the unbiased black-box model by considering higher arity variation operators. In particular, we show that already for binary operators the black-box complexity of LeadingOnes drops from θ(n2) for unary operators to O(n log n). For ONEMAX, the Ω(n log n) unary black-box complexity drops to O(n) in the binary case. For k-ary operators, k ≤ n, the ONEMAX-complexity further decreases to O(n= log k).

Original languageEnglish
Title of host publicationFOGA'11 - Proceedings of the 2011 ACM/SIGEVO Foundations of Genetic Algorithms XI
Pages163-171
Number of pages9
DOIs
Publication statusPublished - 20 May 2011
Externally publishedYes
Event11th Foundations of Genetic Algorithms Workshop, FOGA XI - Schwarzenberg, Austria
Duration: 5 Jan 2011 → 9 Jan 2011

Publication series

NameFOGA'11 - Proceedings of the 2011 ACM/SIGEVO Foundations of Genetic Algorithms XI

Conference

Conference11th Foundations of Genetic Algorithms Workshop, FOGA XI
Country/TerritoryAustria
CitySchwarzenberg
Period5/01/11 → 9/01/11

Keywords

  • Black-box complexity
  • Pseudo-Boolean optimization
  • Runtime analysis
  • Theory

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