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DEVS approximation of infiltration using genetic algorithm optimization of a fuzzy system |
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| Authors: | B. P. Zeigler Y. MoonV. L. LopesJ. Kim |
| Affiliation: | Department of Electrical and Computer Engineering University of Arizona, Tucson, AZ 85721, U.S.A.;School of Renewable Natural Resources University of Arizona, Tucson, AZ 85721, U.S.A.;Department of Electrical and Computer Engineering University of Arizona, Tucson, AZ 85721, U.S.A. |
| Abstract: | The infiltration process is generally described by a nonlinear differential equation, which can be solved by iteration methods such as a Newton-Raphson method. In this paper we propose a Discrete Event System Specification (DEVS) model for Green-Ampt infiltration. We show that this model can be approximated using Genetic Algorithm optimization of a fuzzy system. The fuzzy approximation is shown to be more accurate than the Taylor series approximation recently proposed. |
| Keywords: | Discrete event system specification Fuzzy systems Genetic algorithms Green-Ampt equation |
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