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Parameter estimation in a nonlinear dynamic model of an aquatic ecosystem with meta-heuristic optimization

Author

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  • Tashkova, Katerina
  • Šilc, Jurij
  • Atanasova, Nataša
  • Džeroski, Sašo

Abstract

Parameter estimation in dynamic models of ecosystems is essentially an optimization task. Due to the characteristics of ecosystems and typical models thereof, such as non-linearity, high dimensionality, and low quantity and quality of observed data, this optimization task can be very hard for traditional (derivative-based or local) optimization methods. This calls for the use of advanced meta-heuristic approaches, such as evolutionary or swarm-based methods.

Suggested Citation

  • Tashkova, Katerina & Šilc, Jurij & Atanasova, Nataša & Džeroski, Sašo, 2012. "Parameter estimation in a nonlinear dynamic model of an aquatic ecosystem with meta-heuristic optimization," Ecological Modelling, Elsevier, vol. 226(C), pages 36-61.
    • Handle: RePEc:eee:ecomod:v:226:y:2012:i:c:p:36-61
    DOI: 10.1016/j.ecolmodel.2011.11.029
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    References listed on IDEAS

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    1. Gilboa, Yael & Friedler, Eran & Gal, Gideon, 2009. "Adapting empirical equations to Lake Kinneret data by using three calibration methods," Ecological Modelling, Elsevier, vol. 220(23), pages 3291-3300.
    2. Abbas Afshar & Hamideh Kazemi & Motahareh Saadatpour, 2011. "Particle Swarm Optimization for Automatic Calibration of Large Scale Water Quality Model (CE-QUAL-W2): Application to Karkheh Reservoir, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2613-2632, August.
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    Cited by:

    1. Simidjievski, Nikola & Todorovski, Ljupčo & Džeroski, Sašo, 2015. "Learning ensembles of population dynamics models and their application to modelling aquatic ecosystems," Ecological Modelling, Elsevier, vol. 306(C), pages 305-317.
    2. Čerepnalkoski, Darko & Taškova, Katerina & Todorovski, Ljupčo & Atanasova, Nataša & Džeroski, Sašo, 2012. "The influence of parameter fitting methods on model structure selection in automated modeling of aquatic ecosystems," Ecological Modelling, Elsevier, vol. 245(C), pages 136-165.
    3. Timothy Haas, 2020. "Developing political-ecological theory: The need for many-task computing," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    4. Nikola Simidjievski & Ljupčo Todorovski & Sašo Džeroski, 2016. "Modeling Dynamic Systems with Efficient Ensembles of Process-Based Models," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-27, April.

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