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An evolutionary algorithm with a genetic encoding scheme

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Book cover Methodology and Tools in Knowledge-Based Systems (IEA/AIE 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1415))

Abstract

This paper explores a variant of an evolutionary algorithm which has no explicit parameter representation, but rather represents parameters across a common “genetic string” in a manner much more akin to the storage of genetic information in DNA. Results for several common test functions are given, and compared with the performances for a standard evolutionary algorithm.

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References

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Author information

Authors and Affiliations

  1. Centre for Intelligent Systems School of Biophysical Sciences and Electrical Engineering, Swinburne University of Technology, 3121, Hawthorn, Victoria, Australia

    Howard Copland & Tim Hendtlass

Authors
  1. Howard Copland
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  2. Tim Hendtlass
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Editor information

José Mira Angel Pasqual del Pobil Moonis Ali

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© 1998 Springer-Verlag

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Copland, H., Hendtlass, T. (1998). An evolutionary algorithm with a genetic encoding scheme. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_795

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  • DOI: https://doi.org/10.1007/3-540-64582-9_795

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64582-5

  • Online ISBN: 978-3-540-69348-2

  • eBook Packages: Springer Book Archive

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