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Guidelines: From artificial evolution to computational evolution: a research agenda

Banzhaf, W., Beslon, G., Christensen, S., Foster, J.A., Képès, F., Lefort, V., Miller, J.F., Radman, M. and Ramsden, J.J. (2006) Guidelines: From artificial evolution to computational evolution: a research agenda. Nature Reviews Genetics, 7. pp. 729-735. ISSN 1471-0056

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Computational scientists have developed algorithms inspired by natural evolution for at least 50 years. These algorithms solve optimization and design problems by building solutions that are 'more fit' relative to desired properties. However, the basic assumptions of this approach are outdated. We propose a research programme to develop a new field: computational evolution. This approach will produce algorithms that are based on current understanding of molecular and evolutionary biology and could solve previously unimaginable or intractable computational and biological problems.

Item Type: Article
Institution: The University of York
Academic Units: The University of York > Electronics (York)
Depositing User: York RAE Import
Date Deposited: 07 Apr 2009 12:05
Last Modified: 07 Apr 2009 12:05
Published Version: http://dx.doi.org/10.1038/nrg1921
Status: Published
Publisher: Nature Publishing Group
Identification Number: 10.1038/nrg1921
URI: http://eprints.whiterose.ac.uk/id/eprint/7089

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