Metaheuristic algorithms for optimization of reservoir operations on Ravishankar Sagar reservoir

References

• Abdulbaki, D., M. Al-Hindi, A. Yassine, and M. Abou Najm. 2017. “An Optimization Model for the Allocation of Water Resources.” Journal of Cleaner Production 164:994–1006. https://doi.org/10.1016/j.jclepro.2017.07.024.
   Web of Science ®Google Scholar
• Afshar, A., O. B. Haddad, M. A. Mariño, and B. J. Adams. 2007. “Honey-Bee Mating Optimization (HBMO) Algorithm for Optimal Reservoir Operation.” Journal of the Franklin Institute 344 (5): 452–462. https://doi.org/10.1016/j.jfranklin.2006.06.001.
   Web of Science ®Google Scholar
• Alizamir, M., S. Heddam, S. Kim, and A. D. Mehr. 2021. “On the Implementation of a Novel Data-Intelligence Model Based on Extreme Learning Machine Optimized by Bat Algorithm for Estimating Daily Chlorophyll-A Concentration: Case Studies of River and Lake in USA.” Journal of Cleaner Production 285:124868. https://doi.org/10.1016/j.jclepro.2020.124868.
   Web of Science ®Google Scholar
• Anusha, N., and M. K. Verma. 2020. “Attainment of an Optimum Operating Policy Using Simulation-Optimization Models for Ravishankar Sagar Reservoir, Chhattisgarh, India-A Case Study.” Water Utility Journal 24:35–47.
   Google Scholar
• Azizipour, M., V. Ghalenoei, M. H. Afshar, and S. S. Solis. 2016. “Optimal Operation of Hydropower Reservoir Systems Using Weed Optimization Algorithm.” Water Resources Management 30 (11): 3995–4009. https://doi.org/10.1007/s11269-016-1407-6.
   Web of Science ®Google Scholar
• Bashiri-Atrabi, H., K. Qaderi, D. E. Rheinheimer, and E. Sharifi. 2015. “Application of Harmony Search Algorithm to Reservoir Operation Optimization.” Water Resources Management 29 (15): 5729–5748. https://doi.org/10.1007/s11269-015-1143-3.
   Web of Science ®Google Scholar
• Chen, J., P. Zhong, W. Liu, X. Y. Wan, and W. W. G. Yeh. 2020. “A Multi-objective Risk Management Model for Real-Time Flood Control Optimal Operation of a Parallel Reservoir System.” Journal of Hydrology 590 (June): 125264. https://doi.org/10.1016/j.jhydrol.2020.125264.
   Google Scholar
• Choi, Y., J. Ji, E. Lee, S. Lee, S. Yi, and J. Yi. 2023. “Developing Optimal Reservoir Rule Curve for Hydropower Reservoir with an Add-On Water Supply Function Using Improved Grey Wolf Optimizer.” Water Resources Management 37 (5): 2063–2082. https://doi.org/10.1007/s11269-023-03478-0.
   Web of Science ®Google Scholar
• Cui, Z., Y. Chang, J. Zhang, X. Cai, and W. Zhang. 2019. “Improved NSGA-III with Selection-And-Elimination Operator.” Swarm and Evolutionary Computation 49:23–33. https://doi.org/10.1016/j.swevo.2019.05.011.
   Web of Science ®Google Scholar
• Danandeh Mehr, A., R. Tur, M. M. Alee, E. Gul, V. Nourani, S. Shoaei, B. Mohammadi. 2023. “Optimizing Extreme Learning Machine for Drought Forecasting: Water Cycle Vs. Bacterial Foraging.” Sustainability 15 (5): 3923. https://doi.org/10.3390/su15053923.
   Web of Science ®Google Scholar
• Deb, K., S. Agrawal, A. Pratap, and T. Meyarivan. 2000. “A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II.” International Conference on Parallel Problem Solving from Nature 6 (2): 849–858. https://doi.org/10.1109/4235.996017.
   Google Scholar
• Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2002. “A Fast And Elitist Multiobjective Genetic Algorithm: NSGA-II.” IEEE Transactions on Evolutionary Computation 6 (2): 182–197. https://doi.org/10.1109/4235.996017.
   Web of Science ®Google Scholar
• Ehteram, M., H. Karami, and S. Farzin. 2018. “Reducing Irrigation Deficiencies Based Optimizing Model for Multi-Reservoir Systems Utilizing Spider Monkey Algorithm.” Water Resources Management 32 (7): 2315–2334. https://doi.org/10.1007/s11269-018-1931-7.
   Web of Science ®Google Scholar
• Emami, M., S. Nazif, S.-F. Mousavi, H. Karami, and A. Daccache. 2021. “A Hybrid Constrained Coral Reefs Optimization Algorithm with Machine Learning for Optimizing Multi-Reservoir Systems Operation.” Journal of Environmental Management 286:112250. https://doi.org/10.1016/j.jenvman.2021.112250.
   PubMed Web of Science ®Google Scholar
• Eusuff, M. M. 2004. Water Resources Decision Making Using Meta-Heuristic Optimization Methods. Phd Thesis: The University of Arizona.
   Google Scholar
• Fan, Z., W. Li, X. Cai, H. Huang, Yi Fang, Y. You, J. Mo, et al. 2019. “An Improved Epsilon Constraint-Handling Method in MOEA/D for CMOPs with Large Infeasible Regions.” Soft Computing 23 (23): 12491–12510. https://doi.org/10.1007/s00500-019-03794-x.
   Web of Science ®Google Scholar
• Farzin, S., M. V. Anaraki, M. Naeimi, and S. Zandifar. 2022. “Prediction of Groundwater Table and Drought Analysis; a New Hybridization Strategy Based on Bi-Directional Long Short-Term Model and the Harris Hawk Optimization Algorithm.” Journal of Water and Climate Change 13 (5): 2233–2254. https://doi.org/10.2166/wcc.2022.066.
   Web of Science ®Google Scholar
• Ferdowsi, A., M. Valikhan-Anaraki, S.-F. Mousavi, S. Farzin, and S. Mirjalili. 2021. “Developing a Model for Multi-Objective Optimization of Open Channels and Labyrinth Weirs: Theory and Application in Isfahan Irrigation Networks.” Flow Measurement and Instrumentation 80:101971. https://doi.org/10.1016/j.flowmeasinst.2021.101971.
   Web of Science ®Google Scholar
• Hall, W. A., W. S. Butcher, and A. Esogbue. 1968. “Optimization of the Operation of a Multiple‐Purpose Reservoir by Dynamic Programming.” Water Resources Research 4 (3): 471–477. https://doi.org/10.1029/WR004i003p00471.
   Web of Science ®Google Scholar
• Hamdy, A., R. Ragab, and E. Scarascia‐Mugnozza. 2003. “Coping with Water Scarcity: Water Saving and Increasing Water Productivity.” Irrigation and Drainage 52 (1): 3–20. https://doi.org/10.1002/ird.73.
   Web of Science ®Google Scholar
• Hashemi, M. S., G. A. Barani, and H. Ebrahimi. 2008. “Optimization of Reservoir Operation by Genetic Algorithm Considering Inflow Probabilities (Case Study: The Jiroft Dam Reservoir).” Journal of Applied Sciences 8 (11): 2173–2177. https://doi.org/10.3923/jas.2008.2173.2177.
   Google Scholar
• Holland, J. H. 1984. “Genetic Algorithms and Adaptation.” In Adaptive Control of Ill-Defined Systems, edited by O. G. Selfridge, E. L. Rissland, and M. A. Arbib, 317–333. Boston, MA: Springer US.
   Google Scholar
• Hormwichian, R., J. Tongsiri, and A. Kangrang. 2018. “MultipurpoSe Rule Curves for Multipurpose Reservoir by Conditional Genetic Algorithm.” International Review of Civil Engineering (IRECE) 9 (3): 114. https://doi.org/10.15866/irece.v9i3.14532.
   Google Scholar
• Jager, H. I., and B. T. Smith. 2008. “Sustainable Reservoir Operation: Can We Generate Hydropower and Preserve Ecosystem Values?” River Research and Applications 24 (3): 340–352. https://doi.org/10.1002/rra.1069.
   Web of Science ®Google Scholar
• Jain, S. K. 2012. “Introduction to Reservoir Operation.” NIH, Roorkee 1–14.
   Google Scholar
• Kadkhodazadeh, M., and S. Farzin. 2021. “A Novel LSSVM Model Integrated with GBO Algorithm to Assessment of Water Quality Parameters.” Water Resources Management 35 (12): 3939–3968. https://doi.org/10.1007/s11269-021-02913-4.
   Web of Science ®Google Scholar
• Kumar Bhattacharjya, R., and J. H. Holland. 1992. “Kalyanmoy Deb, ’an Introduction to Genetic Algorithms.” Science American Journal 24 (November): 1–90.
   Google Scholar
• Kumar, D. N., K. S. Raju, and B. Ashok. 2006. “Optimal Reservoir Operation for Irrigation of Multiple Crops Using Genetic Algorithms.” Journal of Irrigation & Drainage Engineering 132 (2): 123–129. https://doi.org/10.1061/(ASCE)0733-9437(2006)132:2(123).
   Web of Science ®Google Scholar
• Lai, V., Y. F. Huang, C. H. Koo, A. N. Ahmed, and A. El-Shafie. 2022. “A Review of Reservoir Operation Optimisations: From Traditional Models to Metaheuristic Algorithms.” Archives of Computational Methods in Engineering 29 (5): 3435–3457. https://doi.org/10.1007/s11831-021-09701-8.
   PubMed Web of Science ®Google Scholar
• Lei, X., J. Zhang, H. Wang, M. Wang, S.-T. Khu, Z. Li, Q. Tan, et al. 2018. “Deriving Mixed Reservoir Operating Rules for Flood Control Based on Weighted Non-Dominated Sorting Genetic Algorithm II.” Journal of Hydrology 564:967–983. https://doi.org/10.1016/j.jhydrol.2018.07.075.
   Web of Science ®Google Scholar
• Lin, N. M., and M. Rutten. 2016. “Optimal Operation of a Network of Multi-Purpose Reservoir: A Review.” Procedia Engineering 154:1376–1384. https://doi.org/10.1016/j.proeng.2016.07.504.
   Google Scholar
• Mathur, Y. P., and S. J. Nikam. 2009. “Optimal Reservoir Operation Policies Using Genetic Algorithm.” International Journal of Engineering and Technology 1 (2): 184–187. https://doi.org/10.7763/ijet.2009.v1.34.
   Google Scholar
• Murugan, P., S. Kannan, and S. Baskar. 2009. “NSGA-II Algorithm for Multi-Objective Generation Expansion Planning Problem.” Electric Power Systems Research 79 (4): 622–628. https://doi.org/10.1016/j.epsr.2008.09.011.
   Web of Science ®Google Scholar
• Nagesh Kumar, D., K. S. Raju, and B. Ashok. 2006. “Optimal Reservoir Operation for Irrigation of Multiple Crops Using Genetic Algorithms.” Journal of Irrigation & Drainage Engineering 132 (2): 123–129. https://doi.org/10.1061/(ASCE)0733-9437(2006)132:2(123).
   Web of Science ®Google Scholar
• Pandya, G. S. 1994. “Mahanadi Project Complex.” Irrigation Power 51 (3): 123–126.
   Google Scholar
• Reddy, M. J., and D. N. Kumar. 2006. “Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm.” Water Resources Management 20 (6): 861–878. https://doi.org/10.1007/s11269-005-9011-1.
   Web of Science ®Google Scholar
• Sastry, K., D. Goldberg, and G. Kendall. 2005. “Chapter 4 Genetic Algorithms.” Search Methodol 97–125.
   Google Scholar
• Sharif, B. M., and R. Wardlaw. 2000. “Multireservoir Systems Optimization Using Genetic a Lgorithms: Case Study.” Journal of Computing in Civil Engineering 14 (4): 255–263. https://doi.org/10.1061/(ASCE)0887-3801(2000)14:4(255).
   Web of Science ®Google Scholar
• Srinivas, C., B. R. Reddy, K. Ramji, and R. Naveen. 2014. “Sensitivity Analysis to Determine the Parameters of Genetic Algorithm for Machine Layout.” Procedia Materials Science 6:866–876. https://doi.org/10.1016/j.mspro.2014.07.104.
   Google Scholar
• Suen, J., and J. W. Eheart. 2006. “Reservoir Management to Balance Ecosystem and Human Needs: Incorporating the Paradigm of the Ecological Flow Regime.” Water Resources Research 42 (3). https://doi.org/10.1029/2005WR004314.
   Web of Science ®Google Scholar
• Tao, T., and W. C. Lennox. 1991. “Reservoir Operations by Successive Linear Programming.” Journal of Water Resources Planning and Management 117 (2): 274–280. https://doi.org/10.1061/(ASCE)0733-9496(1991)117:2(274).
   Web of Science ®Google Scholar
• Vasan, A., and K. S. Raju. 2009. “Comparative Analysis of Simulated Annealing, Simulated Quenching and Genetic Algorithms for Optimal Reservoir Operation.” Applied Soft Computing 9 (1): 274–281. https://doi.org/10.1016/j.asoc.2007.09.002.
   Web of Science ®Google Scholar
• Vedula, S., S. Mohan, and V. S. Shrestha. 1986. “Improved Operating Policies for Multipurpose Use: A Case Study of Bhadra Reservoir.” Sadhana 9 (3): 157–176. https://doi.org/10.1007/BF02811963.
   Google Scholar
• Verma, S., R. T. Sahu, A. D. Prasad, and M. K. Verma. 2023. “Reservoir Operation Optimization Using Ant Colony Optimization a Case Study of Mahanadi Reservoir Project Complex Chhattisgarh-India.” LARHYSS Journal P-ISSN 1112-3680/E-ISSN 2521-9782 (53): 73–93.
   Google Scholar
• Wang, W., W. Tian, K. Chau, H. Zang, M. Ma, Z. Feng, D. Xu, et al. 2023. “Multi-Reservoir Flood Control Operation Using Improved Bald Eagle Search Algorithm with ε Constraint Method.” Water 15 (4): 692. https://doi.org/10.3390/w15040692.
   Web of Science ®Google Scholar
• Yasar, M., and Mutlu. 2016. “Optimization of Reservoir Operation Using Cuckoo Search Algorithm: Example of Adiguzel Dam, Denizli, Turkey.” Mathematical Problems in Engineering 2016:1–7. https://doi.org/10.1155/2016/1316038.
   Web of Science ®Google Scholar
• Yeh, W. W. 1985. “Reservoir Management And Operations Models: A State‐of‐the‐art Review.” Water Resources Research 21 (12): 1797–1818. https://doi.org/10.1029/WR021i012p01797.
   Web of Science ®Google Scholar
• Yekti, M. I. 2017. Role of Reservoir Operation in Sustainable Water Supply to Subak Irrigation Schemes in Yeh Ho River Basin. London: Taylor and Francis. https://doi.org/10.1201/9781315116310.
   Google Scholar
• Yuan, Y., H. Xu, and B. Wang. 2014. “An Improved NSGA-III Procedure for Evolutionary Many-Objective Optimization.” Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation, 661–668.
   Google Scholar
• Zhang, Y. 2007. “General Robust-Optimization Formulation for Nonlinear Programming.” Journal of Optimization Theory and Applications 132 (1): 111–124. https://doi.org/10.1007/s10957-006-9082-z.
   Web of Science ®Google Scholar