Abstract The optimization of dam reservoir operations is the utmost importance, as operators strive to maximize revenue while minimizing expenses, risks, and deficiencies. Metaheuristics have recently been investigated extensively by researchers in management reservoirs. But animal-concept-based metaheuristic algorithm with Lévy flight integration approach has not used at Karun-4. This paper in...

abstract regarding temporal variation of rivers discharge and demands, for suitable use of dam reservoirs stored water, application of operation rule curves is necessary. operation rules are expressed with rule curves. application of yield model is one of the methods of operation curve preparation, which correlates reservoir operation with reservoir storage volume in first period. in this study...

This paper presents a Multi-objective Evolutionary Algorithm (MOEA) to derive a set of optimal operation policies for a multipurpose reservoir system. One of the main goals in multiobjective optimization is to find a set of well distributed optimal solutions along the Pareto front. Classical optimization methods often fail in attaining a good Pareto front. To overcome the drawbacks faced by the...

Operation of reservoirs, often for conflicting purposes, is a difficult task. The uncertainty associated with reservoir operations is further increased due to the on-going hydrological impacts of climate change. Therefore, various artificial intelligence techniques such as genetic algorithms, ant-colony optimization, fuzzy logic and mathematical optimization methods such as Linear programming, ...

Parallel Cellular Automata (PCA) previously has been employed for optimizing bi-objective reservoir operation, where one release is used to meet both objectives. However, if a single release can only be used for one objective, meaning two separate sets of releases are needed, the method is not applicable anymore. In this paper, Multi-Step Parallel Cellular Automata (MSPCA) has been developed fo...

Although many optimization models and methods are applied to the optimization of reservoir operation at present, the optimal operation decision that is made through these models and methods is just a retrospective review. Due to the limitation of hydrological prediction accuracy, it is practical and feasible to obtain the suboptimal or satisfactory solution by the established operation rules in...

Many water resources systems are characterized by multiple objectives. For multiobjective optimization, typically there can be no single optimal solution which can simultaneously satisfy all the goals, but rather a set of technologically efficient noninferior or Pareto optimal solutions exists. Generating those Pareto optimal solutions is a challenging task and often difficulties arise in using...

This study is focused on developing an integrated optimization-simulation model to develop the operation policies for a multi-purpose reservoir. Objective function of the optimization model is considered to be a linear function of reliability, resiliency, and vulnerability of river-reservoir systems. Genetic Algorithm (GA) is used to solve the optimization model in which the coefficients of the...

This study demonstrates running a complicated multi-reservoir system with numerous goals. The heavily incorporates demand and input uncertainties. Fuzzy set theory, which is robust significantly impacted by this uncertainty. fuzzy linear programming method utilized in to find the best course of action for system’s functioning when there uncertainty various parameters, including availability res...

Genetic Algorithms (GAs) application in the field of water resources engineering is of recent origin. Genetic Algorithms is one of the tools, which handles nonlinear optimization problems in an efficient manner. Optimal reservoir operation of reservoir for hydropower production involves constrained nonlinear optimization. The constrained problem is converted into unconstrained problem by using ...