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 for unary operators to . For \onemax, the unary black-box complexity drops to O(n) in the binary case. For -ary operators, , the \onemax-complexity further decreases to .
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