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DNA-Like Genomes for Evolution in silico

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Genetic and Evolutionary Computation — GECCO 2003 (GECCO 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2723))

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Abstract

We explore the advantages of DNA-like genomes for evolutionary computation in silico. Coupled with simulations of chemical reactions, these genomes offer greater efficiency, reliability, scalability, new computationally feasible fitness functions, and more dynamic evolutionary algorithms. The prototype application is the decision problem of HPP (the Hamiltonian Path Problem.) Other applications include pre-processing of protocols for biomolecular computing and novel fitness functions for evolution in silico.

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Author information

Authors and Affiliations

  1. Computer Science, University of Memphis, 373 Dunn Hall, Memphis, TN, 38152

    Michael West, Max H. Garzon & Derrel Blain

Authors
  1. Michael West
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  2. Max H. Garzon
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  3. Derrel Blain
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Editor information

Editors and Affiliations

  1. Lawrence Livermore National Laboratory, Center for Applied Scientific Computing (CASC), 7000 East Avenue, L-561, Livermore, CA, 94550, USA

    Erick Cantú-Paz

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West, M., Garzon, M.H., Blain, D. (2003). DNA-Like Genomes for Evolution in silico . In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45105-6_50

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  • DOI: https://doi.org/10.1007/3-540-45105-6_50

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40602-0

  • Online ISBN: 978-3-540-45105-1

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