Enhancing reservoir operations with charged system search (CSS) algorithm: Accounting for sediment accumulation and multiple scenarios

• Main Authors: Almubaidin M.A.A., Ahmed A.N., Malek M.A., Mahmoud M.A., Sherif M., El-Shafie A.
• 其他作者: 57476845900
• 格式: Article
• 出版: Elsevier B.V. 2025
• 主题: Jordan; Errors; Mean square error; Optimization; Reliability analysis; Reservoir management; Risk analysis; Risk assessment; Risk perception; Sediments; Water resources; Charged system search; Charged system search algorithms; Charged system searches; Reservoir operation; Reservoir operation optimizations; Sediment accumulation; Sediment simulation; Water deficit in reservoir; Water deficits; Water resources management; algorithm; error analysis; geoaccumulation; heuristics; optimization; sedimentation; water demand; water management; water stress; Reservoirs (water)

Optimizing reservoir operation is a complex problem with non-linearities, numerous decision variables, and challenging constraints to simulate and solve. Researchers have tested various metaheuristics algorithms (MHAs) to reduce water deficit in reservoirs and presented them to decision-makers for a...