Evolving difference equations to model freshwater phytoplankton

Author

Whigham, P.A. ; Recknagel, F.

Author_Institution

Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand

Volume

2

fYear

2000

fDate

2000

Firstpage

967

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2000. Proceedings of the 2000 Congress on

Conference_Location

La Jolla, CA

Print_ISBN

0-7803-6375-2

Type

conf

DOI

10.1109/CEC.2000.870748

Filename

870748