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Characterization and Phylogenetic Analysis of the Complete Mitochondrial Genome of white-spotted Bamboo Shark (Chiloscyllium plagiosum)
The white-spotted bamboo shark ( Chiloscyllium plagiosum ) is of great commercial, ecological and ornamental value and has been listed as a...
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A study on the impact of water storage and regulation projects on sustainable development goals using mouth brooding fish (MBF) algorithm
In the quest for a secure and sustainable water supply, optimization methods can be effectively utilized. Accordingly, as a means for the...
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A New Method for Flood Routing Utilizing Four-Parameter Nonlinear Muskingum and Shark Algorithm
Considering the great importance of flood prediction, flood routing based on Shark Algorithm (SA) and Four-Parameter Nonlinear Muskingum (FPNM) has...
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Longfin Mako Shark, Isurus paucus, in the Eastern Tropical Pacific: First Evidence of Trophic Ontogeny Based on the Isotopic Analysis of Long-term Tissues
The ontogeny of pelagic species is difficult to study due to their migratory patterns and the inaccessibility of their habitats, leaving a large part...
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Drought prediction using ensemble models
Managing water resources requires the prediction of droughts. A robust model should be used for drought prediction as it is a complex and nonlinear...
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Predicting Silicon Dioxide Grade
This chapter used the IMM and radial basis function neural network models (RBFNN) to predict silicon dioxide grade. First, the RBFNN models were...
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Crow Algorithm for Irrigation Management: A Case Study
This study employed a new evolutionary algorithm namely, the crow algorithm (CA), to optimize reservoir operation and minimize irrigation water...
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Generation of Clean Hydropower Energy in Multi-Reservoir Systems Based on a New Evolutionary Algorithm
Lingering droughts and shortage of water sources signify the importance of optimal utilization of water reservoirs such as multi-reservoir systems....
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Develo** Water Cycle Algorithm for Optimal Operation in Multi-reservoirs Hydrologic System
Optimal operation of multi-objective reservoirs is one of the complex and, sometimes nonlinear, issues in multi-objective hydrologic system...
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Improved chaotic bat algorithm and its application in multi-objective operation of cascade reservoirs considering different ecological flow requirements
With growing concerns on renewable energy and environment, the multi-objective operation (MOO), which considering the economic benefits and...
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A new hybrid framework based on integration of optimization algorithms and numerical method for estimating monthly groundwater level
Prediction of groundwater level (GWL) is an important issue for optimal planning and management of groundwater resources. MODFLOW, which is a...
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Flood Routing: Improving Outflow Using a New Non-linear Muskingum Model with Four Variable Parameters Coupled with PSO-GA Algorithm
Flood is one of the most destructive natural disasters that damages people’s lives dramatically. Thus, it is crucial for researchers and politicians...
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Operating a reservoir system based on the shark machine learning algorithm
The operating process of a multi-purpose reservoir needs to develop models that have the ability to overcome the challenges facing the decision...
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The Implementation of a New Optimization Method for Hydropower Generation and Multi-Reservoir Systems
This research tries to find the best operation strategies for a reservoir system with the Flow Direction Algorithm (FDA), which was recently...
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Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall
Rainfall prediction is an important issue in water resource management. Predicting rainfall helps researchers to monitor droughts, surface water and...
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Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms
Substantial deterioration of surface water quality, mainly caused by human activities and climate change, makes the assessment of water quality a...
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Optimization Algorithms and Classical Training Algorithms
This chapter explains the application of different optimization algorithms and training algorithms for training artificial neural network models...
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Prediction of reservoir evaporation considering water temperature and using ANFIS hybridized with metaheuristic algorithms
Accurately estimating evaporation is essential for water managers to formulate effective rules and policies. The complexity arising from intricate...
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Investigating dam reservoir operation optimization using metaheuristic algorithms
The optimization of dam reservoir operations is of the utmost importance, as operators strive to maximize revenue while minimizing expenses, risks,...
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Investigation of a New Hybrid Optimization Algorithm Performance in the Optimal Operation of Multi-Reservoir Benchmark Systems
Reservoirs’ optimal operation is a critical issue in the management of surface water resources. In the present study, after combining the whale...
