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Optimal Operation of Multi-reservoir System Utilizing DEA, AIDE Algorithm and Flood Control Assessment by MCDM Approach

Author

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  • Lalitesh Sinha

    (IPS Academy Institute of Engineering and Science
    Shri Govindram Seksaria institute of Technology and Science)

  • Sandeep M. Narulkar

    (Shri Govindram Seksaria institute of Technology and Science)

Abstract

A multi-reservoir system’s operation during floods is a complex problem, because it is dynamic and nonlinear nature, finding the global or near-global best solution is a difficult task. The Adaptive Immune Differential Evolution (AIDE) algorithm is one of the Evolutionary Algorithms (EA) used to solve the multi-reservoir system. It improves the Differential Evolution (DE) algorithm’s exploitation and exploration capabilities. A multi-criteria decision-making (MCDM) approach is also implemented for managing flood control operations in reservoirs, aiming to handle correlations among different criteria. To eliminate correlation, principal component Analysis (PCA) is used and coupled with a weight vector as the input to the TOPSIS method, WASPAS method, and MOORA method by which the alternatives are to be determined. The results show that the dimensionality of the criterion system is lowered while simultaneously eliminating the correlation between criteria, and the ranking order of the alternatives is fair. From the results, it is clear that the AIDE algorithm would have faster convergence and a powerful global ability than the DE algorithm. The control parameters used in DE and AIDE enable these algorithms to effectively navigate complex search spaces and identify optimal or near-optimal solutions. The above optimization method is recommended for complex, large-scale reservoir operations and evaluation of ranking by MCDM approach is helpful for flood control operation of multi-reservoir systems. However, the optimal alternative sequence (3, 5, 2, 4, and 1) is suitable to manage the flood event operation by multi-reservoir.

Suggested Citation

  • Lalitesh Sinha & Sandeep M. Narulkar, 2025. "Optimal Operation of Multi-reservoir System Utilizing DEA, AIDE Algorithm and Flood Control Assessment by MCDM Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(4), pages 1783-1802, March.
    • Handle: RePEc:spr:waterr:v:39:y:2025:i:4:d:10.1007_s11269-024-04046-w
    DOI: 10.1007/s11269-024-04046-w
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    1. Bahram Malekmohammadi & Banafsheh Zahraie & Reza Kerachian, 2010. "A real-time operation optimization model for flood management in river-reservoir systems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 53(3), pages 459-482, June.
    2. Iman Ahmadianfar & Arvin Samadi-Koucheksaraee & Omid Bozorg-Haddad, 2017. "Extracting Optimal Policies of Hydropower Multi-Reservoir Systems Utilizing Enhanced Differential Evolution Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4375-4397, November.
    3. A. Vasan & Komaragiri Raju, 2007. "Application of Differential Evolution for Irrigation Planning: An Indian Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(8), pages 1393-1407, August.
    4. Adeyemo, Josiah & Otieno, Fred, 2010. "Differential evolution algorithm for solving multi-objective crop planning model," Agricultural Water Management, Elsevier, vol. 97(6), pages 848-856, June.
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