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A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources
Water resource management is a complex engineering problem, due to the stochastic
nature of inflow, various demands and environmental flow downstream. With the increase in …
nature of inflow, various demands and environmental flow downstream. With the increase in …
Suspended sediment load prediction using sparrow search algorithm-based support vector machine model
Prediction of suspended sediment load (SSL) in streams is significant in hydrological
modeling and water resources engineering. Development of a consistent and accurate …
modeling and water resources engineering. Development of a consistent and accurate …
A systematic review of optimization of dams reservoir operation using the meta-heuristic algorithms
During the last two decades, the issue of optimal operation of dam reservoirs has received
much attention among water resources management researchers. Also, the operation of …
much attention among water resources management researchers. Also, the operation of …
Improved kidney-inspired algorithm approach for tuning of PID controller in AVR system
This paper proposes a novel tuning design of proportional integral derivative (PID) controller
via an improved kidney-inspired algorithm (IKA) with a new objective function. The main …
via an improved kidney-inspired algorithm (IKA) with a new objective function. The main …
Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm
Suspended sediment load (SSL) estimation is a required exercise in water resource
management. This article proposes the use of hybrid artificial neural network (ANN) models …
management. This article proposes the use of hybrid artificial neural network (ANN) models …
Enhancement of groundwater-level prediction using an integrated machine learning model optimized by whale algorithm
The present study attempted to predict groundwater levels (GWL) obtained from precipitation
and temperature data based on various temporal delays. The radial basis function (RBF) …
and temperature data based on various temporal delays. The radial basis function (RBF) …
Dye Pollutant Removal from Synthetic Wastewater: A New Modeling and Predicting Approach Based on Experimental Data Analysis, Kriging Interpolation Method …
In the present study, a new approach by coupling the interpolation method with computation-
based technique (data-mining algorithms and an optimization algorithm) is introduced for …
based technique (data-mining algorithms and an optimization algorithm) is introduced for …
Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan
Water quality status in terms of one crucial parameter such as dissolved oxygen (DO) has
been an important concern in the Fei-Tsui reservoir for decades since it's the primary water …
been an important concern in the Fei-Tsui reservoir for decades since it's the primary water …
Modeling and predicting suspended sediment load under climate change conditions: a new hybridization strategy
In the present study, for the first time, a new strategy based on a combination of the hybrid
least-squares support-vector machine (LS-SVM) and flower pollination algorithm (FPA) …
least-squares support-vector machine (LS-SVM) and flower pollination algorithm (FPA) …
Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan
Water quality status in terms of one crucial parameter such as dissolved oxygen (DO) has
been an important concern in the Fei-Tsui reservoir for decades since it's the primary water …
been an important concern in the Fei-Tsui reservoir for decades since it's the primary water …