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Program Simplification in Genetic Programming for Object Classification

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

Abstract

This paper describes a program simplification approach in genetic programming (GP) to the use of simple algebraic techniques, prime numbers and hashing techniques for object classification problems. Rather than manually simplifying genetic programs after evolution for interpretation purpose only, this approach automatically simplifies genetic programs during the evolutionary process. This approach is examined on four object classification problems of increasing difficulty. The results suggest that the new simplification approach is more efficient and more effective than the basic GP approach without simplification.

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Author information

Authors and Affiliations

  1. School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, P. O. Box 600, Wellington, New Zealand

    Mengjie Zhang, Yun Zhang & Will Smart

Authors
  1. Mengjie Zhang
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  2. Yun Zhang
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  3. Will Smart
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhang, M., Zhang, Y., Smart, W. (2005). Program Simplification in Genetic Programming for Object Classification. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_139

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  • DOI: https://doi.org/10.1007/11553939_139

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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