Multi-parent recombination to overcome premaature convergence in genetic algorithms:

Abstract: "Recent research shows that enlarging the arity of recombination operators in a Genetic Algorithm lowers the probability of premature convergence. This results in more robust genetic function optimizers. In this paper we try to give an explanation why these multi- parent operators are...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Kemenade, C. H. M. van (VerfasserIn), Eiben, Agoston E. 1961- (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Amsterdam 1995
Schriftenreihe:Centrum voor Wiskunde en Informatica <Amsterdam> / Department of Computer Science: Report CS 95,49
Schlagworte:
Zusammenfassung:Abstract: "Recent research shows that enlarging the arity of recombination operators in a Genetic Algorithm lowers the probability of premature convergence. This results in more robust genetic function optimizers. In this paper we try to give an explanation why these multi- parent operators are better. In particular, we discuss two operators: the uniform scanning crossover and the diagonal crossover operator. First we show that these operators are better than the standard ones by testing them on an extensive test-suite of function optimization problems. Second, we explain the empirical results by first looking at the influence that the operators have on the evolution of populations and then by using a new kind of description we are able to explain the convergence curves and rates of success as obtained in the experiments."
Beschreibung:8 S.

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