Optimizing epochal evolutionary search: population-size independent theory

van Nimwegen, Erik and Crutchfield, James P.. (2000) Optimizing epochal evolutionary search: population-size independent theory. Computer Methods in Applied Mechanics and Engineering, 186 (2-4). pp. 171-194.

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Official URL: https://edoc.unibas.ch/83048/

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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.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (van Nimwegen)
UniBasel Contributors:van Nimwegen, Erik
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:18 May 2021 09:15
Deposited On:18 May 2021 09:15

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