An inductive approach to ecological time series modelling by evolutionary computation

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@Article{Whigham:2001:EM2,
  author =       "Peter A. Whigham and Friedrich Recknagel",
  title =        "An inductive approach to ecological time series
                 modelling by evolutionary computation",
  year =         "2001",
  journal =      "Ecological Modelling",
  volume =       "146",
  pages =        "275--287",
  number =       "1-3",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.sciencedirect.com/science/article/B6VBS-44HYNCP-T/1/d33b3386f4d8934ac004f4d985e411ba",
  abstract =     "Building time series models for ecological systems
                 that can be physically interpreted is important both
                 for understanding the dynamics of these natural systems
                 and the development of decision support systems. This
                 work describes the application of an evolutionary
                 computation framework for the discovery of predictive
                 equations and rules for phytoplankton abundance in
                 freshwater lakes from time series data. The suggested
                 framework evolves several different equations and
                 rules, based on limnological and climate variables. The
                 results demonstrate that non-linear processes in
                 natural systems may be successfully modelled through
                 the use of evolutionary computation techniques.
                 Further, it shows that a grammar based genetic
                 programming system may be used as a tool for exploring
                 the driving processes underlying freshwater system
                 dynamics.",
}

Genetic Programming entries for Peter Alexander Whigham Friedrich Recknagel

Citations