English

Faster Black-Box Algorithms Through Higher Arity Operators

Neural and Evolutionary Computing 2010-12-07 v1

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)\Theta(n^2) for unary operators to O(nlogn)O(n \log n). For \onemax, the Ω(nlogn)\Omega(n \log n) unary black-box complexity drops to O(n) in the binary case. For kk-ary operators, knk \leq n, the \onemax-complexity further decreases to O(n/logk)O(n/\log k).

Cite

@article{arxiv.1012.0952,
  title  = {Faster Black-Box Algorithms Through Higher Arity Operators},
  author = {Benjamin Doerr and Daniel Johannsen and Timo Kötzing and Per Kristian Lehre and Markus Wagner and Carola Winzen},
  journal= {arXiv preprint arXiv:1012.0952},
  year   = {2010}
}

Comments

To appear at FOGA 2011

R2 v1 2026-06-21T16:53:33.876Z