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Möbius Crossover and Excursion Set Mediated Genetic Algorithms

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Artificial Neural Nets and Genetic Algorithms

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Abstract

A non traditional highly disruptive crossover operator, called Möbius crossover, is introduced in the context of Excursion Set Mediated Genetic Algorithm (ESMGA). The new operator and the algorithm are applied to two GA deceptive problems and the results are reported.

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References

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Author information

Authors and Affiliations

  1. Institut fuer Theoretische Chemie, Waehringerstr. 17, 1090, Wien, Austria

    S. Baskaran

  2. Biophysics Branch ES76, National Aeronautics and Space Administration George C. Marshall Space Flight Center, Huntsville, AL, 35812, USA

    S. Baskaran & D. Noever

Authors
  1. S. Baskaran
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  2. D. Noever
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© 1998 Springer-Verlag Wien

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Baskaran, S., Noever, D. (1998). Möbius Crossover and Excursion Set Mediated Genetic Algorithms. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_36

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  • DOI: https://doi.org/10.1007/978-3-7091-6492-1_36

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83087-1

  • Online ISBN: 978-3-7091-6492-1

  • eBook Packages: Springer Book Archive

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