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

Katerina Tashkova, Jurij Šilc, Nataša Atanasova and Sašo Džeroski

Ecological Modelling, 2012, vol. 226, issue C, 36-61

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.

Keywords: Aquatic ecosystems; Ordinary differential equations; Parameter estimation; Least-squares estimation; Meta-heuristic optimization (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:226:y:2012:i:c:p:36-61

DOI: 10.1016/j.ecolmodel.2011.11.029

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