A systematic review of optimization of dams reservoir operation using the meta-heuristic algorithms
B Beiranvand, PS Ashofteh - Water Resources Management, 2023 - Springer
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 …
Survey of lévy flight-based metaheuristics for optimization
J Li, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …
a high probability. The probability density distribution of Lévy flight was characterized by …
Multi-objective robust optimization of reservoir operation for real-time flood control under forecasting uncertainty
X Yu, YP Xu, H Gu, Y Guo - Journal of Hydrology, 2023 - Elsevier
Flood control operation is one of the effective measures to reduce flood risks. Since flood
forecasting plays a critical role in real-time reservoir flood control operation, it is necessary to …
forecasting plays a critical role in real-time reservoir flood control operation, it is necessary to …
Conceptual Sim-Heuristic optimization algorithm to evaluate the climate impact on reservoir operations
This study covers the application of sim-heuristics to simulate and optimise the KLang Gate
Dam (KGD) operating rule curve using the Coupled Model Intercomparison Project 5 …
Dam (KGD) operating rule curve using the Coupled Model Intercomparison Project 5 …
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, and deficiencies. Metaheuristics …
to maximize revenue while minimizing expenses, risks, and deficiencies. Metaheuristics …
Self-adaptive metaheuristic optimization technique for multi-objective reservoir operation
Multi-objective reservoir operation presents a number of critical challenges that must be
overcome for efficient management of water resources. The inherent contradiction between …
overcome for efficient management of water resources. The inherent contradiction between …
Reservoir operation management using a new hybrid algorithm of Invasive Weed Optimization and Cuckoo Search Algorithm
M Trivedi, RK Shrivastava - AQUA—Water Infrastructure …, 2023 - iwaponline.com
Water scarcity throughout the world has led to major difficulties and complexities in
managing water demands. These challenges gravitate towards the development of efficient …
managing water demands. These challenges gravitate towards the development of efficient …
[HTML][HTML] Adapting reservoir operations for optimal water management under varying climate and demand scenarios using metaheuristic algorithms
JY Chong, GL Hooi, QY Goh, V Lai, YF Huang… - Ain Shams Engineering …, 2024 - Elsevier
The operational rule curve is significant for proper reservoir operations and water resources
management of the dam. The optimisation of the release policy is rather a complicated and …
management of the dam. The optimisation of the release policy is rather a complicated and …
Dynamic monitoring of surface area and water volume of reservoirs using satellite imagery, computer vision and deep learning
AM de Albuquerque Teixeira, LV Batista… - Remote Sensing …, 2024 - Elsevier
The development of surface area and estimated volume measurements for water reservoirs
using advanced computational techniques has become an increasingly important task for …
using advanced computational techniques has become an increasingly important task for …
Parameters tuning of fractional-order proportional integral derivative in water turbine governing system using an effective SDO with enhanced fitness-distance balance …
W Zhao, H Zhang, Z Zhang, K Zhang, L Wang - Water, 2022 - mdpi.com
Supply-demand-based optimization (SDO) is a swarm-based optimizer. However, it suffers
from several drawbacks, such as lack of solution diversity and low convergence accuracy …
from several drawbacks, such as lack of solution diversity and low convergence accuracy …