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New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems

Author

Listed:
  • Saeid Akbarifard

    (Graduate University of Advanced Technology)

  • Mohammad Zounemat-Kermani

    (Shahid Bahonar University of Kerman
    Shahid Bahonar University of Kerman)

Abstract

Meta-heuristic algorithms have been successfully used in solving a variety of engineering problems. The optimal operation of multi-reservoirs is one the most complex engineering problem, so there is an increasing need for the development of such algorithms. In this study, a new hybrid algorithm, Symbiotic Organisms Search based on Moth Swarm Algorithm (SOS-MSA), in comparison to three robust algorithms of Fitness-Distance-Balance-based Symbiotic Organisms Search (FDB-SOS) algorithm, Harmony Search (HS) algorithm and Imperialist Competitive algorithm (ICA) were developed for optimal management of surface water resources systems. The Halilrood basin surface water resource system in the Southeast of Iran consisting of Baft, Safarud, and Jiroft dams was considered as the case study. The purpose was to find the best scenario for allocating the water resources among the domestic, environmental, agricultural, and industrial uses in the case study, provided that the drinking water demand being given precedence. The results demonstrated that the new hybrid SOS-MSA algorithm provided the most efficient operation policies in a shortest run time which could supply 88%, 73.63%, and 99.07% of the downstream demands of Baft, Safarud, and Jiroft reservoirs. In addition, the best values of sustainability index (SI) were achieved by SOS-MSA algorithm followed by FDB-SOS algorithm indicating the superior performance of these algorithms over the HS and ICA algorithms in optimal operation of multi-reservoir system.

Suggested Citation

  • Saeid Akbarifard & Mohammad Zounemat-Kermani, 2024. "New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(15), pages 6007-6023, December.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:15:d:10.1007_s11269-024-03941-6
    DOI: 10.1007/s11269-024-03941-6
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    References listed on IDEAS

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    1. 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.
    2. Mohammad Reza Sharifi & Saeid Akbarifard & Kourosh Qaderi & Mohamad Reza Madadi, 2021. "Developing MSA Algorithm by New Fitness-Distance-Balance Selection Method to Optimize Cascade Hydropower Reservoirs Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 385-406, January.
    3. Mohamad Reza Madadi & Saeid Akbarifard & Kourosh Qaderi, 2020. "Performance Evaluation of Improved Symbiotic Organism Search Algorithm for Estimation of Solute Transport in Rivers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1453-1464, March.
    Full references (including those not matched with items on IDEAS)

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