Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies

Mahdi Valikhan-Anaraki, Sayed-Farhad Mousavi, Saeed Farzin, Hojat Karami, Mohammad Ehteram, Ozgur Kisi, Chow Ming Fai, Md. Shabbir Hossain, Gasim Hayder, Ali Najah Ahmed, Amr H. El-Shafie, Huzaifa Bin Hashim, Haitham Abdulmohsin Afan, Sai Hin Lai and Ahmed El-Shafie
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Mahdi Valikhan-Anaraki: Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan 35131-19111, Iran
Sayed-Farhad Mousavi: Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan 35131-19111, Iran
Saeed Farzin: Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan 35131-19111, Iran
Hojat Karami: Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan 35131-19111, Iran
Mohammad Ehteram: Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan 35131-19111, Iran
Ozgur Kisi: School of Natural Sciences and Engineering, Ilia State University, Tbilisi 0162, Georgia
Chow Ming Fai: Institute of Energy Infrastructure (IEI), Civil Engineering department, Universiti Tenaga Nasional (UNITEN), Selangor 43000, Malaysia
Md. Shabbir Hossain: Department of Civil Engineering, Heriot-Watt University, Putrajaya 62200, Malaysia
Gasim Hayder: Institute of Energy Infrastructure (IEI), Civil Engineering department, Universiti Tenaga Nasional (UNITEN), Selangor 43000, Malaysia
Ali Najah Ahmed: Institute of Energy Infrastructure (IEI), Civil Engineering department, Universiti Tenaga Nasional (UNITEN), Selangor 43000, Malaysia
Amr H. El-Shafie: Civil Engineering Department El-Gazeera High Institute for Engineering Al Moqattam, Cairo 11311, Egypt
Huzaifa Bin Hashim: Civil Engineering Department, Faculty of Engineering; University of Malaya, Kuala Lumpur 50603, Malaysia
Haitham Abdulmohsin Afan: Civil Engineering Department, Faculty of Engineering; University of Malaya, Kuala Lumpur 50603, Malaysia
Sai Hin Lai: Civil Engineering Department, Faculty of Engineering; University of Malaya, Kuala Lumpur 50603, Malaysia
Ahmed El-Shafie: Civil Engineering Department, Faculty of Engineering; University of Malaya, Kuala Lumpur 50603, Malaysia

Sustainability, 2019, vol. 11, issue 8, 1-18

Abstract: 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 × 10 6 m 3 , while the amount of water release based on the HA was 24.48 × 10 6 m 3 . 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.

Keywords: hybrid algorithm; particle swarm optimization algorithm; bat algorithm; water resources management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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