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In The 20th European Conference on Artificial Life (ECAL), 2011, Paris. Theory and Practice of Optimal Mutation Rate Control in Hamming Spaces of DNA Sequences Roman V. Belavkin1 , Alastair Channon2 , Elizabeth Aston2 ,
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Document Date: 2011-08-01 07:40:53

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San Francisco / Seattle / Manrubia / Paris / Berlin / L. A. / London / Brussels / /

Company

Hamming Spaces / Oxford University Press / Cox / Stephens / Nix A. E. / Eiben A. E. / /

Country

Belgium / United States / United Kingdom / /

Currency

pence / /

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Facility

University of Manchester / Keele University / UK Research Institute / University of Warwick / Middlesex University / /

IndustryTerm

replication machinery / Analytical solutions / biological systems / machinery / evolutionary algorithms / meta genetic algorithm / dynamical systems / meta-genetic algorithm / mutational networks / genetic algorithm / generational genetic algorithm / genetic algorithms / mutation-dependent genetic algorithm / evolutionary systems / mutation operator / numerical solutions / genetic search / /

Movie

A. D. / /

Organization

Middlesex University / Department of Statistics / School of Engineering and Information Sciences / International Congress / Faculty of Life Sciences / University of Manchester / UK Research Institute for the Environment / Physical Sciences and Applied Mathematics / Keele University / University of Warwick / Oxford University / /

Person

Simulated Annealing / Morgan Kaufmann / Weinreich / Souza / V / Kiviet / Genetic Algorithms / /

Position

D. J. / editor / Fisher / /

Product

Markov / Skullcandy G.I. Headphone/Headset / /

ProvinceOrState

Washington / South Carolina / Georgia / /

PublishedMedium

IEEE Transactions on Evolutionary Computation / PLoS One / Annals of Mathematics / /

Technology

generational genetic algorithm / genetic algorithm / meta genetic algorithm / mutation-dependent genetic algorithm / meta-genetic algorithm / How genetic algorithms / genotype / recombination / /

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