| Literature DB >> 16894364 |
Wolfgang Banzhaf1, Guillaume Beslon, Steffen Christensen, James A Foster, François Képès, Virginie Lefort, Julian F Miller, Miroslav Radman, Jeremy J Ramsden.
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 However, the basic assumptions of this approach are outdated.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.Mesh:
Year: 2006 PMID: 16894364 DOI: 10.1038/nrg1921
Source DB: PubMed Journal: Nat Rev Genet ISSN: 1471-0056 Impact factor: 53.242