Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Journal articles

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.
Complete list of metadata

https://hal-insu.archives-ouvertes.fr/insu-00388757
Contributor : Thierry Pellarin Connect in order to contact the contributor
Submitted on : Wednesday, May 27, 2009 - 12:39:39 PM
Last modification on : Tuesday, October 19, 2021 - 6:58:04 PM

Links full text

Identifiers

Collections

Citation

Samer Majdalani, Rafaël 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⟩

Share

Metrics

Record views

126