Faster black-box algorithms through higher arity operators

Benjamin Doerr*, Daniel Johannsen, Timo Kötzing, Per Kristian Lehre, Markus Wagner, Carola Winzen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

48 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 - 2011
Event11th Foundations of Genetic Algorithms Workshop, FOGA XI - Schwarzenberg, Austria
Duration: 5 Jan 20119 Jan 2011

Conference

Conference11th Foundations of Genetic Algorithms Workshop, FOGA XI
Country/TerritoryAustria
CitySchwarzenberg
Period5/01/119/01/11

Keywords

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

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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