Title :
Evolving difference equations to model freshwater phytoplankton
Author :
Whigham, P.A. ; Recknagel, F.
Author_Institution :
Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
Abstract :
The underlying dynamics of algal species in freshwater systems are a complex non-linear problem. Process-based models have been previously developed to describe the time varying behaviour of chlorophyll-a, a measure of algal concentration, for these systems. This paper describes the application of a genetic programming equation discovery system to study various generalisations of a process-based model based on a time series difference equation
Keywords :
biology computing; difference equations; evolutionary computation; optimisation; time series; zoology; algal concentration; algal species dynamics; chlorophyll-a; difference equation evolution; freshwater phytoplankton modelling; generalisations; genetic programming equation discovery system; nonlinear problem; process-based model; process-based models; time series difference equation; time varying behaviour; Algae; Biological system modeling; Context modeling; Difference equations; Differential equations; Genetics; Information science; Nonlinear dynamical systems; Predictive models; Time varying systems;
Conference_Titel :
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location :
La Jolla, CA
Print_ISBN :
0-7803-6375-2
DOI :
10.1109/CEC.2000.870748
