Nature Reviews Genetics 7, 729-735 (September 2006) | doi:10.1038/nrg1921


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


Wolfgang Banzhaf1, Guillaume Beslon2, Steffen Christensen3, James A. Foster4, François Képès5, Virginie Lefort2, Julian F. Miller6, Miroslav Radman7 & Jeremy J. Ramsden8  About the authors


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 However, the basic assumptions of this approach are outdated.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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