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Towards a Hybrid Metabolic Algorithm

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Membrane Computing (WMC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4361))

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Abstract

During recent years stochastic algorithms have deserved much attention from the computational biology research communities. In this paper we derive a hybrid version of the formerly known Metabolic Algorithm that is enriched with stochastic features, whose impact on the dynamics of the system is especially prominent when the amount of metabolite becomes smaller. This hybrid procedure represents a first attempt to let the Metabolic Algorithm deal with low concentrations of substances according to a non-deterministic policy.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Verona, 15 strada Le Grazie, 37134, Verona, Italy

    Luca Bianco & Federico Fontana

Authors
  1. Luca Bianco
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  2. Federico Fontana
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Editor information

Editors and Affiliations

  1. Leiden Institute of Advanced Computer Science, Universiteit Leiden, Niels Bohrweg 1, 2333, Leiden, CA, The Netherlands

    Hendrik Jan Hoogeboom

  2. Institute of Mathematics of the Romanian Academy, PO Box 1-764, 014700, BucureÅŸti, Romania

    Gheorghe Păun

  3. Leiden Center of Advanced Computer Science (LIACS), Leiden University, Niels Bohrweg 1, 2333, Leiden, CA, The Netherlands

    Grzegorz Rozenberg

  4. Turku Centre for Computer Science (TUCS), Leminkäisenkatu 14, 20520, Turku, Finland

    Arto Salomaa

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© 2006 Springer-Verlag Berlin Heidelberg

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Bianco, L., Fontana, F. (2006). Towards a Hybrid Metabolic Algorithm. In: Hoogeboom, H.J., Păun, G., Rozenberg, G., Salomaa, A. (eds) Membrane Computing. WMC 2006. Lecture Notes in Computer Science, vol 4361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11963516_12

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  • DOI: https://doi.org/10.1007/11963516_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69088-7

  • Online ISBN: 978-3-540-69090-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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