Equivalence of Probabilistic Tournament and Polynomial Ranking Selection
Neural and Evolutionary Computing
2008-06-26 v1
Abstract
Crucial to an Evolutionary Algorithm's performance is its selection scheme. We mathematically investigate the relation between polynomial rank and probabilistic tournament methods which are (respectively) generalisations of the popular linear ranking and tournament selection schemes. We show that every probabilistic tournament is equivalent to a unique polynomial rank scheme. In fact, we derived explicit operators for translating between these two types of selection. Of particular importance is that most linear and most practical quadratic rank schemes are probabilistic tournaments.
Keywords
Cite
@article{arxiv.0803.2925,
title = {Equivalence of Probabilistic Tournament and Polynomial Ranking Selection},
author = {Kassel Hingee and Marcus Hutter},
journal= {arXiv preprint arXiv:0803.2925},
year = {2008}
}
Comments
9 double-column pages, 5 figures