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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 …
[HTML][HTML] Review of metaheuristics inspired from the animal kingdom
The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …
Discrete spider monkey optimization for travelling salesman problem
Meta-heuristic algorithms inspired by biological species have become very popular in recent
years. Collective intelligence of various social insects such as ants, bees, wasps, termites …
years. Collective intelligence of various social insects such as ants, bees, wasps, termites …
A novel LSSVM model integrated with GBO algorithm to assessment of water quality parameters
In this study, a novel least square support vector machine (LSSVM) model integrated with
gradient-based optimizer (GBO) algorithm is introduced for the assessment of water quality …
gradient-based optimizer (GBO) algorithm is introduced for the assessment of water quality …
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 …
Reservoir operation by a new evolutionary algorithm: Kidney algorithm
This article shows an application of a new algorithm, called kidney algorithm, for reservoir
operation which employs three different operators, namely filtration, secretion, and excretion …
operation which employs three different operators, namely filtration, secretion, and excretion …
Optimal reservoir operation using bat and particle swarm algorithm and game theory based on optimal water allocation among consumers
Water resources scarcity and competition among stakeholders in water allocation always
highlights the optimal operation of water resources. This research examines the operation of …
highlights the optimal operation of water resources. This research examines the operation of …
Predicting hydropower production using deep learning CNN-ANN hybridized with gaussian process regression and salp algorithm
The hydropower industry is one of the most important sources of clean energy. Predicting
hydropower production is essential for the hydropower industry. This study introduces a …
hydropower production is essential for the hydropower industry. This study introduces a …
[HTML][HTML] Optimization of Dam Operation and Interaction with Groundwater: An Overview Focusing on Greece
The optimization of dam operations to transform them into multi-objective facilities
constitutes a challenge for both hydrology, hydrogeology, and hydropower generation …
constitutes a challenge for both hydrology, hydrogeology, and hydropower generation …
Using metaheuristics algorithms (MHAs) to optimize water supply operation in reservoirs: a review
The optimization of the operation of reservoirs is one of the complex problems in terms of
non-linear problems, large numbers of decision variables, and multiple constraints that are …
non-linear problems, large numbers of decision variables, and multiple constraints that are …