Abstract
Aiming at the demand for model parameter calibration of numerical simulation, a parallel parameter inversion program based on genetic algorithm is designed, and the inversion effect of this program is validated by two examples. The results show that this program has strong versatility, good input and output interfaces, high inversion precision and high calculated efficiency, so automatic parameter inversion can be realized by coupling of this program with various forward programs.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bonton, A., Bouchard, C., Rouleau, A., et al.: Calibration and validation of an integrated nitrate transport model within a well capture zone. Journal of Contaminant Hydrology 128, 1–18 (2012)
Dai, Z., Samper, J., Wolfsberg, A., et al.: Identification of relative conductivity models for water flow and solute transport in unsaturated bentonite. Physics and Chemistry of the Earth 33, S177–S185 (2008)
Geza, M., Murray, K.E., et al.: Watershed-Scale Impacts of Nitrogen from On-Site Wastewater Systems Parameter Sensitivity and Model Calibration. Journal of Environmental Engineering, 926–938 (2010)
Aster, R.C., Borchers, B., Thurber, C.H.: Parameter Estimation and Inverse Problems. Elsevier Academic Press, Burlington (2005)
Yeh, W.W.: Review of Parameter Identification Procedures in Groundwater Hydrology: The Inverse Problem. Water Resources Research 22, 95–108 (1986)
Poeter, E.P., Hill, M.C.: DOCUMENTATION OF UCODE, A Computer Code for Universal Inverse Modeling. U.S. Geological Survey, Denver (1998)
Banta, E.R., Hill, M.C., Poeter, E., et al.: Building model analysis applications with the Joint Universal Parameter IdenTification and Evaluation of Reliability (JUPITER) API. Computers & Geosciences 34, 310–319 (2008)
Zyvoloski, G., Kwicklis, E., Eddebbarh, A.A., et al.: The site-scale saturated zone flow model for Yucca Mountain: Calibration of different conceptual models and their impact on flow paths. Journal of Contaminant Hydrology 62-63, 731–750 (2003)
Metcalfe, T.S., Charbonneau, P.: Stellar Structure Modeling using a Parallel Genetic Algorithm for Objective Global Optimization. Journal of Computational Physics 185, 176–193 (2003)
Liu, X.P., An, Z.L., Zheng, L.P.: Master-Slave Parallel Genetic Algorithm Framework on MPI. Journal of System Simulation 16, 1938–1940 (2004) (in Chinese)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cao, Y., Wang, W., Wang, T., Liu, F. (2012). Design and Validation of a Parallel Parameter Inversion for Program Based on Genetic Algorithm. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_66
Download citation
DOI: https://doi.org/10.1007/978-3-642-34289-9_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34288-2
Online ISBN: 978-3-642-34289-9
eBook Packages: Computer ScienceComputer Science (R0)