Genetic programming in water resources engineering: A state-of-the-art review
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …
automatic generation of computer programs. In recent decades, GP has been frequently …
[HTML][HTML] Groundwater quality forecasting modelling using artificial intelligence: A review
This review paper closely explores the techniques and significances of the most potent
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …
Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions
Evapotranspiration is one of the most important components of the hydrological cycle as it
accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate …
accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate …
Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural …
Without a doubt, landslide is one of the most disastrous natural hazards and landslide
susceptibility maps (LSMs) in regional scale are the useful guide to future development …
susceptibility maps (LSMs) in regional scale are the useful guide to future development …
Rainfall runoff modelling based on genetic programming
V Babovic, M Keijzer - Hydrology Research, 2002 - iwaponline.com
The runoff formation process is believed to be highly non-linear, time varying, spatially
distributed, and not easily described by simple models. Considerable time and effort has …
distributed, and not easily described by simple models. Considerable time and effort has …
Monthly streamflow forecasting using continuous wavelet and multi-gene genetic programming combination
Streamflow is an essential component of the hydrologic cycle in the regional and global
scale and the main source of fresh water supply. It is highly associated with natural …
scale and the main source of fresh water supply. It is highly associated with natural …
Drought forecasting in a semi-arid watershed using climate signals: a neuro-fuzzy modeling approach
Large-scale annual climate indices were used to forecast annual drought conditions in the
Maharlu-Bakhtegan watershed, located in Iran, using a neuro-fuzzy model. The …
Maharlu-Bakhtegan watershed, located in Iran, using a neuro-fuzzy model. The …
A gene–wavelet model for long lead time drought forecasting
Drought forecasting is an essential ingredient for drought risk and sustainable water
resources management. Due to increasing water demand and looming climate change …
resources management. Due to increasing water demand and looming climate change …
Landslide hazard mapping in the Constantine city, Northeast Algeria using frequency ratio, weighting factor, logistic regression, weights of evidence, and analytical …
H Bourenane, MS Guettouche, Y Bouhadad… - Arabian Journal of …, 2016 - Springer
Landslides constitute the most widespread and damaging natural hazards in the
Constantine city. They represent a significant constraint to development and urban planning …
Constantine city. They represent a significant constraint to development and urban planning …
A Pareto-optimal moving average-multigene genetic programming model for rainfall-runoff modelling
The effectiveness of genetic programming (GP) in rainfall-runoff modelling has been
recognized in recent studies. However, it may produce misleading estimations if …
recognized in recent studies. However, it may produce misleading estimations if …