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Mutation and recombination effects on the adaptability of sexual and asexual organisms

  • Track 13: Biological Information And Neural Network
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Computing in the 90's (Great Lakes CS 1989)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 507))

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Abstract

EVOLVE III, an evolutionary ecosystem simulation program, is used to study the relationship between genetic variation and adaptability of organisms in constant and fluctuating environments. The simulation runs suggest that point mutations increase genetic diversity while gene recombination acts as a stabilizing force for phenotypic variability.

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References

  1. M. Conrad and H.H. Pattee, "Evolution experiments with an artificial ecosystem", Journal of Theoretical Biology 28, 1970.

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  2. M. Conrad and M. Strizich, "Evolve II: A computer model of an evolving ecosystem", BioSystems 17, 1985.

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  3. M. M. Rizki and M. Conrad, "EVOLVE III: A discrete events model of an evolutionary ecosystem", BioSystems 18, 1985.

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  4. M. M. Rizki and M. Conrad, "Computing the theory of evolution", Physica 22D, 1986.

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  5. B. P. Zeigler, Multifacetted Modelling and Discrete Event Simulation, Academic Press, New York, 1984.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Wright State University, 45435, Dayton, Ohio

    Mateen M. Rizki

  2. Department of Computer Science, Wayne State University, 48202, Detroit, Michigan

    Jong Chen

Authors
  1. Mateen M. Rizki
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  2. Jong Chen
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Editor information

Naveed A. Sherwani Elise de Doncker John A. Kapenga

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© 1991 Springer-Verlag Berlin Heidelberg

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Rizki, M.M., Chen, J. (1991). Mutation and recombination effects on the adaptability of sexual and asexual organisms. In: Sherwani, N.A., de Doncker, E., Kapenga, J.A. (eds) Computing in the 90's. Great Lakes CS 1989. Lecture Notes in Computer Science, vol 507. Springer, New York, NY. https://doi.org/10.1007/BFb0038521

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  • DOI: https://doi.org/10.1007/BFb0038521

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97628-0

  • Online ISBN: 978-0-387-34815-5

  • eBook Packages: Springer Book Archive

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