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Comparison of Genetic Programming, Grammatical Evolution and Gene Expression Programming Techniques

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Information and Software Technologies (ICIST 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 465))

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Abstract

The purpose of this paper is to compare the efficiency of three different evolutionary programming techniques – Genetic Programming, Grammatical Evolution and Gene Expression Programming. These algorithms were applied to different type test problems with the same set of parameters. The results of the experiments and some insights on similar experiments of the other authors are provided.

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References

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Author information

Authors and Affiliations

  1. Department of Multimedia Engineering, Kaunas University of Technology, Studentų st. 50-400/416a, LT-51368, Kaunas, Lithuania

    Evaldas Guogis & Alfonsas Misevičius

Authors
  1. Evaldas Guogis
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  2. Alfonsas Misevičius
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Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Studentu g. 50-409a,, LT-51368, Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology, Studentu g. 50-409a, LT-51368, Kaunas, Lithuania

    Robertas Damasevicius

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Guogis, E., Misevičius, A. (2014). Comparison of Genetic Programming, Grammatical Evolution and Gene Expression Programming Techniques. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2014. Communications in Computer and Information Science, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-319-11958-8_15

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  • DOI: https://doi.org/10.1007/978-3-319-11958-8_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11957-1

  • Online ISBN: 978-3-319-11958-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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