Title :
Equivalence of probabilistic tournament and polynomial ranking selection
Author :
Hingee, Kassel ; Hutter, Marcus
Author_Institution :
Australian Nat. Univ., Canberra, ACT
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 :
evolutionary computation; polynomial approximation; probability; evolutionary algorithm; linear ranking selection; polynomial ranking selection; probabilistic tournament method; Algorithm design and analysis; Australia; Evolutionary computation; Genetic mutations; Mathematics; Polynomials; Pressure control; Probability distribution;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630852