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Mahdi Valikhan-Anaraki
Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan 35131-19111, Iran

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Journal article
Published: 18 April 2019 in Sustainability
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One of the most important issues in the field of water resource management is the optimal utilization of dam reservoirs. In the current study, the optimal utilization of the Aydoghmoush Dam Reservoir is examined based on a hybrid of the bat algorithm (BA) and particle swarm optimization algorithm (PSOA) by increasing the convergence rate of the new hybrid algorithm (HA) without being trapped in the local optima. The main goal of the study was to reduce irrigation deficiencies downstream of this reservoir. The results showed that the HA reduced the computational time and increased the convergence rate. The average downstream irrigation demand over a 10-year period (1991–2000) was 25.12 × 106 m3, while the amount of water release based on the HA was 24.48 × 106 m3. Therefore, the HA was able to meet the irrigation demands better than some other evolutionary algorithms. Moreover, lower indices of root mean square error (RMSE) and mean absolute error (MAE) were obtained for the HA. In addition, a multicriteria decision-making model based on the vulnerability, reliability, and reversibility indices and the objective function performed better with the new HA than with the BA, PSOA, genetic algorithm (GA), and shark algorithm (SA) in terms of providing for downstream irrigation demands.

ACS Style

Mahdi Valikhan-Anaraki; Sayed-Farhad Mousavi; Saeed Farzin; Hojat Karami; Mohammad Ehteram; Ozgur Kisi; Chow Ming Fai; Shabbir Hossain; Gasim Hayder; Ali Najah Ahmed; Amr H. El-Shafie; Huzaifa Bin Hashim; Haitham Abdulmohsin Afan; Sai Hin Lai; Ahmed El-Shafie. Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies. Sustainability 2019, 11, 2337 .

AMA Style

Mahdi Valikhan-Anaraki, Sayed-Farhad Mousavi, Saeed Farzin, Hojat Karami, Mohammad Ehteram, Ozgur Kisi, Chow Ming Fai, Shabbir Hossain, Gasim Hayder, Ali Najah Ahmed, Amr H. El-Shafie, Huzaifa Bin Hashim, Haitham Abdulmohsin Afan, Sai Hin Lai, Ahmed El-Shafie. Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies. Sustainability. 2019; 11 (8):2337.

Chicago/Turabian Style

Mahdi Valikhan-Anaraki; Sayed-Farhad Mousavi; Saeed Farzin; Hojat Karami; Mohammad Ehteram; Ozgur Kisi; Chow Ming Fai; Shabbir Hossain; Gasim Hayder; Ali Najah Ahmed; Amr H. El-Shafie; Huzaifa Bin Hashim; Haitham Abdulmohsin Afan; Sai Hin Lai; Ahmed El-Shafie. 2019. "Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies." Sustainability 11, no. 8: 2337.