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

Document Type : Research Article

Authors

1 Department of Civil Engineering, Kish International Branch, Islamic Azad University, Kish Island, Iran.

2 Department of Water Science and Engineering, Shahre-e-qods Branch, Islamic Azad University, Tehran, Iran.

3 Department of Water Science and Engineering, University of Birjand, Birjand, Iran.

4 Department of Civil Engineering, University of Birjand, Birjand, Iran.

Abstract

 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 a genetic algorithm with multi-world algorithm has improved the performance of the multi-world algorithm by 16.64%.

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References

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Amirkabir Journal of Civil Engineering
Volume 54, Issue 6
September 2022
Pages 2173-2188

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