English

Black-Box Complexity: Breaking the $O(n \log n)$ Barrier of LeadingOnes

Data Structures and Algorithms 2012-10-25 v1 Neural and Evolutionary Computing

Abstract

We show that the unrestricted black-box complexity of the nn-dimensional XOR- and permutation-invariant LeadingOnes function class is O(nlog(n)/loglogn)O(n \log (n) / \log \log n). This shows that the recent natural looking O(nlogn)O(n\log n) bound is not tight. The black-box optimization algorithm leading to this bound can be implemented in a way that only 3-ary unbiased variation operators are used. Hence our bound is also valid for the unbiased black-box complexity recently introduced by Lehre and Witt (GECCO 2010). The bound also remains valid if we impose the additional restriction that the black-box algorithm does not have access to the objective values but only to their relative order (ranking-based black-box complexity).

Keywords

Cite

@article{arxiv.1210.6465,
  title  = {Black-Box Complexity: Breaking the $O(n \log n)$ Barrier of LeadingOnes},
  author = {Benjamin Doerr and Carola Winzen},
  journal= {arXiv preprint arXiv:1210.6465},
  year   = {2012}
}

Comments

12 pages, to appear in the Proc. of Artificial Evolution 2011, LNCS 7401, Springer, 2012. For the unrestricted black-box complexity of LeadingOnes there is now a tight $\Theta(n \log\log n)$ bound, cf. http://eccc.hpi-web.de/report/2012/087/