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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 - UMR 5558
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 However, the basic assumptions of this approach are outdated.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.
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Contributor : Guillaume Beslon Connect in order to contact the contributor
Submitted on : Saturday, February 23, 2013 - 10:11:38 PM
Last modification on : Tuesday, October 25, 2022 - 4:18:04 PM



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, 2006, 7 (9), pp.729--735. ⟨10.1038/nrg1921⟩. ⟨hal-00793902⟩



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