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Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables

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Hybrid Artificial Intelligent Systems (HAIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10334))

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Abstract

The estimation of the future streamflows is one of the main research topics in hydrology and a very important task for water resources management. The aim of this work is to use symbolic regression in order to model the hydrological balance. Specifically, we use genetic programming to solve the symbolic regression problem. Nevertheless, in this work we use Straight Line Programs instead of trees to encode algebraic expression. Results shows that this representation for algebraic expressions could improve the results in both accuracy and computational time.

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Acknowledgements

This work has been supported by the project TIN201564776-C3-1-R.

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Authors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, University of Granada, C/. Pdta. Daniel Saucedo Aranda s.n., Granada, Spain

    Ramón Rueda Delgado, Luis G. Baca Ruiz, Manuel Pegalajar Cuellar & Mara Del Carmen Pegalajar

  2. Department of Civil Engineering, Catholic University of San Antonio, Campus de los Jerónimos s/n, Guadalupe, 30107, Murcia, Spain

    Patricia Jimeno-Sáez

  3. Instituto Geológico y Minero de España, Urb.Alczar del Genil, 4. Edificio Zulema Bajo, 18006, Granada, Spain

    David Pulido-Velazquez

Authors
  1. Ramón Rueda Delgado
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  2. Luis G. Baca Ruiz
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  3. Patricia Jimeno-Sáez
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  4. Manuel Pegalajar Cuellar
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  5. David Pulido-Velazquez
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  6. Mara Del Carmen Pegalajar
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Corresponding author

Correspondence to Ramón Rueda Delgado .

Editor information

Editors and Affiliations

  1. University of La Rioja , Logroño, La Rioja, Spain

    Francisco Javier Martínez de Pisón

  2. University of La Rioja , Logroño, La Rioja, Spain

    Rubén Urraca

  3. University of A Coruña , Ferrol, La Coruña, Spain

    Héctor Quintián

  4. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Rueda Delgado, R., Ruiz, L.G.B., Jimeno-Sáez, P., Cuellar, M.P., Pulido-Velazquez, D., Del Carmen Pegalajar, M. (2017). Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables. In: Martínez de Pisón, F., Urraca, R., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2017. Lecture Notes in Computer Science(), vol 10334. Springer, Cham. https://doi.org/10.1007/978-3-319-59650-1_38

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  • DOI: https://doi.org/10.1007/978-3-319-59650-1_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59649-5

  • Online ISBN: 978-3-319-59650-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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