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

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Publication details

JournalNature Reviews Genetics
DatePublished - Sep 2006
Issue number9
Volume7
Number of pages7
Pages (from-to)729-735
Original languageEnglish

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 However, the basic assumptions of this approach are outdated.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.

    Research areas

  • WEAK-INTERACTIONS, EVOLVABILITY, DYNAMICS, GENOME, MODEL, EXPRESSION, EMERGENCE, SYSTEM

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