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Estimating preferential water flow parameters using a binary genetic algorithm inverse method

Abstract : KDW-GA is a framework for the simulation of preferential water flow through unsaturated soils. Preferential flow can be described by a Kinematic Dispersive Wave (KDW) equation which depends on three transport parameters. Transport parameters are estimated with the binary genetic algorithm (GA) inverse method by reducing the errors (cost function) between estimated and observed water flux values. Different GA components are discussed in order to find the best strategy that fits our problem. Recommendations concerning the mutation rate, the elite number, and the pairing technique are deduced with regard to the algorithm performance.
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https://hal-insu.archives-ouvertes.fr/insu-00388757
Contributor : Thierry Pellarin <>
Submitted on : Wednesday, May 27, 2009 - 12:39:39 PM
Last modification on : Friday, September 25, 2020 - 11:02:44 AM

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Samer Majdalani, Rafael Angulo-Jaramillo, Liliana Di Pietro. Estimating preferential water flow parameters using a binary genetic algorithm inverse method. Environmental Modelling and Software, Elsevier, 2008, 23 (7), pp.950 à 956. ⟨10.1016/j.envsoft.2007.12.002⟩. ⟨insu-00388757⟩

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