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Optimizing epochal evolutionary search: population-size independent theory
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4619456
Author(s) van Nimwegen, Erik; Crutchfield, James P.
Author(s) at UniBasel van Nimwegen, Erik
Year 2000
Title Optimizing epochal evolutionary search: population-size independent theory
Journal Computer Methods in Applied Mechanics and Engineering
Volume 186
Number 2-4
Pages / Article-Number 171-194
Abstract Epochal dynamics, in which long periods of stasis in population fitness are punctuated by sudden innovations, is a common behavior in both natural and artificial evolutionary processes. We use a recent quantitative mathematical analysis of epochal evolution to estimate, as a function of population size and mutation rate, the average number of fitness function evaluations to reach the global optimum. This is then used to derive estimates of and bounds on evolutionary parameters that minimize search effort.
Publisher Elsevier
ISSN/ISBN 0045-7825
edoc-URL https://edoc.unibas.ch/83048/
Full Text on edoc No
Digital Object Identifier DOI 10.1016/S0045-7825(99)00383-7
 
   

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