Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Asynchronous Genetic Algorithms on Parallel Computers
Proceedings of the 5th International Conference on Genetic Algorithms
Serial and Parallel Genetic Algorithms as Function Optimizers
Proceedings of the 5th International Conference on Genetic Algorithms
Self-learning fuzzy controllers based on temporal backpropagation
IEEE Transactions on Neural Networks
Design of high level modelling / high performance simulation environments
PADS '96 Proceedings of the tenth workshop on Parallel and distributed simulation
The DEVS Environment for High-Performance Modeling and Simulation
IEEE Computational Science & Engineering
The simulation-based multi-objective evolutionary optimization (SIMEON) framework (Work-in-Progress)
Proceedings of the 2011 Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium
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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.