Optimizing Reservoirs Exploitation with A New Crow Search Algorithm Based on a Multi-Criteria Decision-Making Model

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Vaziri H. R.; KARAMI H.; Mousavi S. F.; HADIANI O.

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Journal: Journal of Water and Soil Science Year:2018 | Volume:22 | Issue:1 Page(s): 279-290

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Title

Optimizing Reservoirs Exploitation with A New Crow Search Algorithm Based on a Multi-Criteria Decision-Making Model

Author(s)

Vaziri H. R. | KARAMI H. | Mousavi S. F. | HADIANI O. | Issue Writer Certificate

Keywords

Evolutionary algorithmsQ1

Water resources managementQ1

Genetic AlgorithmQ2

Particle Swarm AlgorithmQ1

Abstract

Exploitation of dam reservoirs is one of the major problems in the management of water resources. In this research, Crow Search Algorithm (CSA) was used for the first time to manage the operation of reservoirs. Also, the results related to the exploitation of the single-reservoir system of Shahid-Rajaei dam, located in Mazandaran province, northern Iran, which meets the downstream water demands, were compared to those obtained by applying the Particle Swarm and Genetic Algorithms. Time reliability, volume reliability, vulnerability and reversibility indices, and a multicriteria decision-making model were used to select the best algorithm. The results showed that the CSA obtained results close to the problem’ s absolute optimal response, such that the average responses in the Crow, Particle Swarm and Genetic Algorithms were 99, 75 and 61 percent of the absolute optimal response, respectively. Besides, except for the time reliability index, the CSA had a better performance in the rest of the indices, as compared to Particle Swarm and Genetic Algorithms. The coefficient of variation of the obtained responses by CSA was 14 and 16 times smaller than the Genetic and Particle Swarm Algorithms, respectively. The multi-criteria decision-making model revealed that the CSA was ranked first, as compared to the other two algorithms, in the Shahid-Rajaei Reservoir's operation problem.

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APA: Copy

Vaziri, H. R., KARAMI, H., Mousavi, S. F., & HADIANI, O.. (2018). Optimizing Reservoirs Exploitation with A New Crow Search Algorithm Based on a Multi-Criteria Decision-Making Model. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 22(1 ), 279-290. SID. https://sid.ir/paper/363935/en

Vancouver: Copy

Vaziri H. R., KARAMI H., Mousavi S. F., HADIANI O.. Optimizing Reservoirs Exploitation with A New Crow Search Algorithm Based on a Multi-Criteria Decision-Making Model. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2018;22(1 ):279-290. Available from: https://sid.ir/paper/363935/en

IEEE: Copy

H. R. Vaziri, H. KARAMI, S. F. Mousavi, and O. HADIANI, “Optimizing Reservoirs Exploitation with A New Crow Search Algorithm Based on a Multi-Criteria Decision-Making Model,” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 22, no. 1 , pp. 279–290, 2018, [Online]. Available: https://sid.ir/paper/363935/en

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