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Saeid Akbarifard (Assistant professor)

صفحه فارسی

Faculty of Civil and Surveying Engineering / Department of Water Engineering
  • Academic Major: Water Sciences and Engineering _ Water Resources Engineering
  • Tel: 03431623357 / 113
  • Follow Me at: Google Scholar   ResearchGate   
  • Email: s.akbarifard [AT] kgut.ac.ir
  • Resume:
 

Biography



Research Interests

Water resource management, Optimization, Multi-reservoir System Operation, Hydropower Energy, Single-objective and Multi-objective Meta-heuristic Algorithms

Journals

  1. Akbarifard, S., & Zounemat-Kermani, M. (2024). New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems. Water Resources Management, 1-17.‏ doi: https://doi.org/10.1007/s11269-024-03941-6

  2. Akbarifard, S., Madadi, M. R., & Zounemat-Kermani, M. (2024). An artificial intelligence-based model for optimal conjunctive operation of surface and groundwater resources. Nature Communications, 15(1), 553.‏ doi: https://doi.org/10.1038/s41467-024-44758-6

  3. Sharifi, M. R., Akbarifard, S., Madadi, M. R., Akbarifard, H., & Qaderi, K. (2022). Comprehensive assessment of 20 state-of-the-art multi-objective meta-heuristic algorithms for multi-reservoir system operation. Journal of Hydrology, 613, 128469.‏ doi:

  4. Sharifi, M. R., Akbarifard, S., Madadi, M. R., Qaderi, K., & Akbarifard, H. (2022). Application of MOMSA algorithm for optimal operation of Karun multi objective multi reservoir dams with the aim of increasing the energy generation. Energy Strategy Reviews, 42, 100883.‏ doi:

  5. Sharifi, M. R., Akbarifard, S., Madadi, M. R., Qaderi, K., & Akbarifard, H. (2022). Optimization of hydropower energy generation by 14 robust evolutionary algorithms. Scientific Reports, 12(1), 7739.‏ doi:

  6. Sharifi, M. R., Akbarifard, S., Qaderi, K., & Madadi, M. R. (2021). A new optimization algorithm to solve multi-objective problems. Scientific Reports, 11(1), 20326.‏ doi:

  7. Sharifi, M. R., Akbarifard, S., Qaderi, K., & Madadi, M. R. (2021). Comparative analysis of some evolutionary-based models in optimization of dam reservoirs operation. Scientific reports, 11(1), 15611.‏ doi:

  8. Sharifi, M. R., Akbarifard, S., Qaderi, K., & Madadi, M. R. (2021). Developing MSA algorithm by new fitness-distance-balance selection method to optimize cascade hydropower reservoirs operation. Water resources management, 35, 385-406.‏ doi:

  9. Akbarifard, S., Sharifi, M. R., Qaderi, K., & Madadi, M. R. (2021). Optimal operation of multi-reservoir systems: comparative study of three robust metaheuristic algorithms. Water Supply, 21(2), 941-958.‏ doi:

  10. Khalifeh, S., Akbarifard, S., Khalifeh, V., & Zallaghi, E. (2020). Optimization of water distribution of network systems using the Harris Hawks optimization algorithm (Case study: Homashahr city). MethodsX, 7, 100948.‏ doi:

  11. Khalifeh, S., Esmaili, K., Khodashenas, S., & Akbarifard, S. (2020). Data on optimization of the non-linear Muskingum flood routing in Kardeh River using Goa algorithm. Data in brief, 30, 105398.‏ doi:

  12. Madadi, M. R., Akbarifard, S., & Qaderi, K. (2020). Improved Moth-Swarm Algorithm to predict transient storage model parameters in natural streams. Environmental Pollution, 262, 114258.‏ doi:

  13. Madadi, M. R., Akbarifard, S., & Qaderi, K. (2020). Performance evaluation of improved symbiotic organism search algorithm for estimation of solute transport in rivers. Water Resources Management, 34, 1453-1464.‏ doi:

  14. Akbarifard, S., Sharifi, M. R., & Qaderi, K. (2020). Data on optimization of the Karun-4 hydropower reservoir operation using evolutionary algorithms. Data in brief, 29, 105048.‏ doi:

  15. Akbarifard, S., & Radmanesh, F. (2018). Predicting sea wave height using Symbiotic Organisms Search (SOS) algorithm. Ocean Engineering, 167, 348-356.‏ doi:

  16. Qaderi, K., Akbarifard, S., Madadi, M. R., & Bakhtiari, B. (2018, August). Optimal operation of multi-reservoirs by water cycle algorithm. In Proceedings of the Institution of Civil Engineers-Water Management (Vol. 171, No. 4, pp. 179-190). Thomas Telford Ltd.‏ doi: https://doi.org/10.1680/jwama.16.00034


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