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A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms

Author

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  • Behrang Beiranvand

    (University of Qom)

  • Parisa-Sadat Ashofteh

    (University of Qom)

Abstract

During the last two decades, the issue of optimal operation of dam reservoirs has received much attention among water resources management researchers. Also, the operation of dam reservoirs in terms of diversity of decision-making and target functions has complexities that sometimes cannot be solved with traditional optimization methods and requires a lot of time and money. Therefore, the use of new tools and advanced methods in solving such problems is inevitable. In this review article, 76 research articles from the most prestigious journals in the world between 2002 and 2021 have been reviewed. Meta-analysis method (PRISMA) has been used for systematic review and selection of the studied articles. This research includes a comprehensive review regarding the application of different optimization models in the exploitation of dam reservoirs and can provide a critical insight into the selection of used models and the accuracy of different modeling methods in the optimization of dam reservoirs. The investigated models include single-objective and multi-objective reservoirs, as well as single and multi-reservoirs. The results of this study show that researchers' interest and popularity in hybrid algorithms (HA) (18.68%) and GA (16.48%) were more than the traditional or improved versions. Also, hybrid algorithms showed better results than single meta-heuristic algorithms and traditional methods. According to the obtained results, it can be stated that the meta-heuristic algorithms used are capable of solving complex models in reservoir operation problems with a fast convergence rate.

Suggested Citation

  • Behrang Beiranvand & Parisa-Sadat Ashofteh, 2023. "A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3457-3526, July.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:9:d:10.1007_s11269-023-03510-3
    DOI: 10.1007/s11269-023-03510-3
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