Boudjerda, Merouane and Touaibia, Benina and Mihoubi, Mustapha Kamel and Kisi, Ozgur and Ehteram, Mohammd and El-Shafie, Ahmed (2024) Optimization of reservoir operation by sine cosine algorithm: A case of study in Algeria. Sustainable Computing-Informatics & Systems, 44. ISSN 2210-5379, DOI https://doi.org/10.1016/j.suscom.2024.101035.
Full text not available from this repository.Abstract
The optimal operation of the reservoir has vital importance in water engineering. In the presented article, a new optimization method, named sine cosine algorithm (SCA) was employed to obtain operating policy for an irrigation system. The SCA was utilized for the monthly operation of the Boukerdane Dam placed in the north of Algeria. The fitness function was the minimization of the total shortage for the studied period. Three scenarios considering three different seasons of inflow (dry, normal and wet) are used to optimize the reservoir system's operation. The SCA outputs were compared with particle swarm optimization (PSO) and kidney algorithm (KA). The outcomes indicated that the SCA surpassed the PSO and KA in convergence rate. The general results indicated the low speed of KA and PSO in achieving convergence. The results indicated that the highest RES (resiliency index), SUS (sustainability index) and REL (reliability index) achieved by the SCA were 65, 86 and 92 %, respectively. Comparing the third scenario with the first and second scenarios, it was observed that the third scenario (wet seasons) improved the results.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Water resources management; Reservoir operation; Sine cosine algorithm; Kidney algorithm; Particle swarm optimization; Sustainability index |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering > Department of Civil Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 26 Oct 2025 03:22 |
| Last Modified: | 26 Oct 2025 03:22 |
| URI: | http://eprints.um.edu.my/id/eprint/46443 |
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