Equivalence of Probabilistic Tournament and Polynomial Ranking Selection

Computer Science – Neural and Evolutionary Computing

Scientific paper

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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.

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