Using Novel Meta-Heuristic Algorithms for Single-Objective Operation of Reservoir Amirkabir

One of the solutions to deal with improper temporal and spatial distribution of water resources problems is the optimal use of dam reservoirs. Reservoir systems analyze, properly, manages and properly utilizes water resources and tries to design water resources systems in such a way that specific purpose such as hydropower generation, drinking water supply and agriculture, control of destructive floods, according to a set of Implement the constraints optimally. For this purpose, in this study, the objective function of minimizing the total power of the difference between the demand of agriculture and release has been used to solve the problem of optimizing the operation of the Amirkabir reservoir. The purpose of this study was to evaluate the performance of single-objective versions of algorithms such as multi-verse optimizer and genetic algorithm, as well as the performance of a combination of these two algorithms (MVGA). The results of the study of meta-heuristic algorithms indicated that among the multi-verse, genetic algorithm and MVGA algorithm, the MVGA algorithm similar to GA has a lower number of iterations with objective function values of 24.29 and 24.22, respectively, better than the MVO algorithm with objective function values 29.14. The results of this study showed that to increase the efficiency of one algorithm, it can be combined with another algorithm. In this study, the combination of genetic algorithm with multi-world algorithm has improved the performance of multi-world algorithm by 16.64%.