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Optimization as a technique for studying population genetics equations

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Evolution and Biocomputation

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 899))

Abstract

We use methods from dynamic optimization to study the possible behavior of simple population genetic models. These methods can be used, at least conceptually, to determine limits to the behavior of optimization algorithms based on genetic equations.

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References

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Author information

Authors and Affiliations

  1. Division of Environmental Studies, Center for Population Biology, University of California, 95616, Davis, CA

    Alan Hastings

  2. Institute for Theoretical Dynamics, University of California, 95616, Davis, CA

    Alan Hastings

  3. Department of Ecology and Evolutionary Biology, University of Arizona, 85721, Tucson, AZ

    Gordon A. Fox

Authors
  1. Alan Hastings
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  2. Gordon A. Fox
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Editor information

Wolfgang Banzhaf Frank H. Eeckman

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© 1995 Springer-Verlag Berlin Heidelberg

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Hastings, A., Fox, G.A. (1995). Optimization as a technique for studying population genetics equations. In: Banzhaf, W., Eeckman, F.H. (eds) Evolution and Biocomputation. Lecture Notes in Computer Science, vol 899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59046-3_3

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  • DOI: https://doi.org/10.1007/3-540-59046-3_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59046-0

  • Online ISBN: 978-3-540-49176-7

  • eBook Packages: Springer Book Archive

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