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Application of Neuro-Genetic Algorithm to Determine Reservoir Response in Different Hydrologic Adversaries
neuro-genetic models reservoir response
2015/3/1
The hydrologic adversaries like high magnitude storms, extreme dryness, aridity, more than normal
demand for water etc. often cause a huge stress on the storage structures such as reservoirs and che...
A genetic algorithm for optimizing off-farm irrigation scheduling
Agenetic algorithm optimizing off-farm irrigation scheduling
2009/12/4
This paper examines the use of genetic algorithm (GA) optimization to identify water delivery schedules for an open-channel irrigation system. Significant objectives and important constraints are iden...
A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data
multiobjective approach effective long-term groundwater monitoring sorted genetic algorithm
2009/12/4
This study presents a methodology for quantifying the tradeoffs between sampling costs and local concentration estimation errors in an existing groundwater monitoring network. The method utilizes hist...
Optimal sampling in a noisy genetic algorithm for risk-based remediation design
Optimal sampling noisy genetic algorithm risk-based remediation design
2009/12/4
A groundwater management model has been developed that predicts human health risks and uses a noisy genetic algorithm to identify promising risk-based corrective action (RBCA) designs. Noisy genetic a...
Calibration of nearshore process models ATitlemdash;application of a hybrid genetic algorithm
Calibration nearshore process models ATitlemdash hybrid genetic algorithm
2009/12/4
The physically realistic functions implemented in nearshore process models are governed by parameters that usually do not represent measurable attributes of the nearshore and, therefore, need to be de...
Derivation of effective and efficient data set with subtractive clustering method and genetic algorithm
Derivation effective and efficient data set subtractive clustering method genetic algorithm
2009/12/4
Success of any forecasting model depends heavily on reliable historical data, among others. Data are needed to calibrate, fine tune and verify any simulation model. However, data are very often contam...
Application of an Adaptive Forecast Algorithm to the River Västerdalälven
Application Adaptive Forecast Algorithm River Vä sterdalä lven
2009/10/27
During the last two decades, advances in electronic engineering, hydrological
modelling and systems theory have given considerable benefits to the hydrological
forecast developments. Today several p...
Calibration of a crop model to irrigated water use using a genetic algorithm
Calibration a crop model irrigated water use a genetic algorithm
2009/9/11
Near-term consumption of groundwater for irrigated agriculture in the High Plains Aquifer supports a dynamic bio-socio-economic system, all parts of which will be impacted by a future transition to su...
Using a spatio-temporal dynamic state-space model with the EM algorithm to patch gaps in daily riverflow series
patch gaps daily riverflow series
2009/5/18
A spatio-temporal linear dynamic model has been developed for patching short gaps in daily river runoff series. The model was cast in a state-space form in which the state variable was estimated using...
Multi-criteria calibration of a conceptual runoff model using a genetic algorithm
Multi-criteria calibration genetic algorithm
2009/3/24
Calibration of a model against more than one output variable is important for reliable simulations of internal processes. In this study, a genetic algorithm combined with local optimisation was propos...
Inverse modelling in estimating soil hydraulic functions: a Genetic Algorithm approach
Genetic Algorithm inverse modelling
2009/3/17
The practical application of simulation models in the field is sometimes hindered by the difficulty of deriving the soil hydraulic properties of the study area. The procedure so-called inverse modelli...