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 1471-0056Full text not available from this repository.
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 However, the basic assumptions of this approach are outdated.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.
|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|
|Publisher:||Nature Publishing Group|
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