IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v39y2025i4d10.1007_s11269-024-04046-w.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-024-04046-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-024-04046-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:39:y:2025:i:4:d:10.1007_s11269-024-04046-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.