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Browse Journals & Magazines > Evolutionary Computation, IEE ...> Volume:3 Issue:4 Help

Genetic drift in genetic algorithm selection schemes

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2 Author(s)
Rogers, A. ; Dept. of Electron. & Comput. Sci., Southampton Univ., UK ; Prügel-Bennett, A.

A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection, steady-state selection with varying generation gap, a simple model of Eshelman's CHC algorithm (1991), and (μ+λ) evolution strategies. The effects of changing genetic drift on the convergence of a GA are demonstrated empirically

Published in:
Evolutionary Computation, IEEE Transactions on  (Volume:3 ,  Issue: 4 )

Date of Publication: Nov 1999

Page(s):
298 - 303
ISSN :
1089-778X
INSPEC Accession Number:
6411652
Digital Object Identifier :
10.1109/4235.797972
Product Type:
Journals & Magazines
Date of Current Version :
06 August 2002
Issue Date :
Nov 1999
Sponsored by :
IEEE Computational Intelligence Society

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