Literature DB >> 16894364

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

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 However, the basic assumptions of this approach are outdated.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


  7 in total

Review 1.  From evolutionary computation to the evolution of things.

Authors:  Agoston E Eiben; Jim Smith
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

2.  Forced evolution in silico by artificial transposons and their genetic operators: The ant navigation problem.

Authors:  Leonid Zamdborg; David M Holloway; Juan J Merelo; Vladimir F Levchenko; Alexander V Spirov
Journal:  Inf Sci (N Y)       Date:  2015-06-10       Impact factor: 6.795

3.  Assessing clinical and life sciences performance of research institutions in Split, Croatia, 2000-2006.

Authors:  Livia Puljak; Katarina Vukojević; Sanja Lovrić Kojundzić; Damir Sapunar
Journal:  Croat Med J       Date:  2008-04       Impact factor: 1.351

4.  Evolution of complex adaptations in molecular systems.

Authors:  Csaba Pál; Balázs Papp
Journal:  Nat Ecol Evol       Date:  2017-07-21       Impact factor: 15.460

5.  Homology and linkage in crossover for linear genomes of variable length.

Authors:  Adriaan Merlevede; Henrik Åhl; Carl Troein
Journal:  PLoS One       Date:  2019-01-03       Impact factor: 3.240

6.  The evolution of robust development and homeostasis in artificial organisms.

Authors:  David Basanta; Mark Miodownik; Buzz Baum
Journal:  PLoS Comput Biol       Date:  2008-03-28       Impact factor: 4.475

7.  Differential Cloud Particles Evolution Algorithm Based on Data-Driven Mechanism for Applications of ANN.

Authors:  Wei Li
Journal:  Comput Intell Neurosci       Date:  2017-07-06
  7 in total

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