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

Wolfgang Banzhaf Guillaume Beslon 1, 2 Stephen Christensen A. James François Képès 3 Virginie Lefort 1 F. Julian Miroslav Radman Jeremy J. Ramsden
2 BEAGLE - Artificial Evolution and Computational Biology
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive, CarMeN - Cardiovasculaire, métabolisme, diabétologie et nutrition
Abstract : 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 However, the basic assumptions of this approach are outdated.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.
Type de document :
Article dans une revue
Nature Reviews Genetics, Nature Publishing Group, 2006, 7 (9), pp.729--735
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https://hal.inria.fr/hal-00793902
Contributeur : Guillaume Beslon <>
Soumis le : samedi 23 février 2013 - 22:11:38
Dernière modification le : mardi 17 juillet 2018 - 15:49:45

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  • HAL Id : hal-00793902, version 1

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Wolfgang Banzhaf, Guillaume Beslon, Stephen Christensen, A. James, François Képès, et al.. Guidelines: From artificial evolution to computational evolution: a research agenda. Nature Reviews Genetics, Nature Publishing Group, 2006, 7 (9), pp.729--735. 〈hal-00793902〉

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