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

被引:74
作者
Banzhaf, Wolfgang [1 ]
Beslon, Guillaume
Christensen, Steffen
Foster, James A.
Kepes, Francois
Lefort, Virginie
Miller, Julian F.
Radman, Miroslav
Ramsden, Jeremy J.
机构
[1] Mem Univ Newfoundland, Dept Comp Sci, St John, NF A1B 3X5, Canada
[2] Inst Natl Sci Appl, Dept Informat, F-69621 Villeurbanne, France
[3] Carleton Univ, Sch Comp Sci, Ottawa, ON K1S 5B6, Canada
[4] Univ Idaho, Dept Biol Sci, Moscow, ID 83844 USA
[5] Genopole, Epigenom Project, F-91000 Evry, France
[6] Univ York, Dept Elect, York YO10 5DD, N Yorkshire, England
[7] Univ Paris 05, Fac Med, INSERM, U571, F-75015 Paris, France
[8] Mediterranean Inst Life Sci, Split 2100, Croatia
[9] Cranfield Univ, Sch Appl Sci, Cranfield MK43 0AL, Beds, England
关键词
D O I
10.1038/nrg1921
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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 However, the basic assumptions of this approach are outdated.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.
引用
收藏
页码:729 / 735
页数:7
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