Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-03-20
Proc. 2008 Congress on Evolutionary Computation (CEC 2008) pages 564-571
Computer Science
Neural and Evolutionary Computing
9 double-column pages, 5 figures
Scientific paper
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.
Hingee Kassel
Hutter Marcus
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