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Workshops on Applications of Evolutionary Computation

EvoWorkshops 2008: Applications of Evolutionary Computing pp 315–324Cite as

Classification of Seafloor Habitats Using Genetic Programming

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4974))

Abstract

In this paper we use Genetic Programming for the classification of different seafloor habitats, based on the acoustic backscatter data from an echo sounder. By dividing the multiple-class problem into several two-class problems, we were able to produce nearly perfect results, providing total discrimination between most of the seafloor types used in this study. We discuss the quality of these results and provide ideas to further improve the classification performance.

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Author information

Authors and Affiliations

  1. CISUC, Department of Informatics Engineering, University of Coimbra, Polo II, P-3030, Coimbra, Portugal

    Sara Silva

  2. Centre for Marine Science and Technology, Curtin University of Technology, GPO, Box U1987, Perth, WA 6845, Australia

    Yao-Ting Tseng

Authors
  1. Sara Silva
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  2. Yao-Ting Tseng
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Editor information

Mario Giacobini Anthony Brabazon Stefano Cagnoni Gianni A. Di Caro Rolf Drechsler Anikó Ekárt Anna Isabel Esparcia-Alcázar Muddassar Farooq Andreas Fink Jon McCormack Michael O’Neill Juan Romero Franz Rothlauf Giovanni Squillero A. Şima Uyar Shengxiang Yang

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© 2008 Springer-Verlag Berlin Heidelberg

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Silva, S., Tseng, YT. (2008). Classification of Seafloor Habitats Using Genetic Programming. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_32

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  • DOI: https://doi.org/10.1007/978-3-540-78761-7_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78760-0

  • Online ISBN: 978-3-540-78761-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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