The origin of diversity by adaptive clustering

Walton, N. and Smith, G. D. (2000) The origin of diversity by adaptive clustering. In: Parallel Problem Solving from Nature PPSN VI. Lecture Notes in Computer Science, 1917 . Springer Berlin / Heidelberg, pp. 415-424. ISBN 978-3-540-41056-0

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Abstract

We propose to show from a study of population genetics that convergence in the simple genetic algorithm is due to the homogeneous nature of its population. By applying an adaptive clustering algorithm we demonstrate that highly fit yet diverse populations result. Heterogenity is established using both genotypic and phenotypic measures, and we show that genetic algorithms using genotypic measures out perform both the simple genetic algorithm and ones using a phenotypic measure.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences
Depositing User:	Vishal Gautam
Date Deposited:	21 Jun 2011 17:36
Last Modified:	15 Dec 2022 00:53
URI:	https://ueaeprints.uea.ac.uk/id/eprint/22739
DOI:	10.1007/3-540-45356-3_41

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