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Sexual and Asexual Paradigms in Evolution: The Implications for Genetic AlgorithmsMark W. Andrews1 and Christopher Salzberg2 1Gatsby Computational Neuroscience Unit, Alexandra House, 17 Queen’s Square, London WC1N 3AR, United Kingdom
2Sayama Lab, Department of Human Communication, University of Electro-Communications, Tokyo, Japan
Abstract. In this paper, we generalize the models used by MacKay [1] in his analysis of evolutionary strategies that are based on sexual, rather than asexual, reproduction methods. This analysis can contribute to the understanding of the relative power of genetic algorithms over search methods based upon stochastic hill-climbing, e.g. [2], [3]. LNCS 3103, p. 379 f. lncs@springer.de
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