An inductive approach to ecological time series modelling by evolutionary computation
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- @Article{Whigham:2001:EM2,
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author = "Peter A. Whigham and Friedrich Recknagel",
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title = "An inductive approach to ecological time series
modelling by evolutionary computation",
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year = "2001",
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journal = "Ecological Modelling",
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volume = "146",
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pages = "275--287",
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number = "1-3",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.sciencedirect.com/science/article/B6VBS-44HYNCP-T/1/d33b3386f4d8934ac004f4d985e411ba",
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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