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Using Genetic Algorithms to Evolve Behavior in Cellular Automata

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Book cover Unconventional Computation (UC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3699))

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Abstract

It is an unconventional computation approach to evolve solutions instead of calculating them. Although using evolutionary computation in computer science dates back to the 1960s, using an evolutionary approach to program other algorithms is not that well known. In this paper a genetic algorithm is used to evolve behavior in cellular automata. It shows how this approach works for different topologies and neighborhood shapes. Some different one dimensional neighborhood shapes are investigated with the genetic algorithm and yield surprisingly good results.

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Author information

Authors and Affiliations

  1. Universiteit Leiden, LIACS, P.O. Box 9512, 2300 RA, Leiden, The Netherlands

    Thomas Bäck & Ron Breukelaar

  2. NuTech Solutions GmbH, Martin Schmeißer Weg 15, 44227, Dortmund, Germany

    Thomas Bäck

Authors
  1. Thomas Bäck
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  2. Ron Breukelaar
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Auckland, New Zealand

    Cristian S. Calude

  2. Department of Computer Science, University of Auckland, Private Bag 92019, Auckland, New Zealand

    Michael J. Dinneen

  3. Institute of Mathematics of the Romanian Academy, PO Box 1-764, 014700, Bucureşti, Romania

    Gheorghe Păun

  4. Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, University of Seville, Avda. Reina Mercedes, 41012, Sevilla, Spain

    Mario J. Pérez-Jímenez

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

    Grzegorz Rozenberg

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© 2005 Springer-Verlag Berlin Heidelberg

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Bäck, T., Breukelaar, R. (2005). Using Genetic Algorithms to Evolve Behavior in Cellular Automata. In: Calude, C.S., Dinneen, M.J., Păun, G., Pérez-Jímenez, M.J., Rozenberg, G. (eds) Unconventional Computation. UC 2005. Lecture Notes in Computer Science, vol 3699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11560319_1

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  • DOI: https://doi.org/10.1007/11560319_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29100-8

  • Online ISBN: 978-3-540-32022-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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