The significance of water resource management is undeniable, and optimizing reservoir operations for hydropower generation, irrigation, and flood mitigation is a profound task. To accomplish this, a variety of optimization approaches and procedures were employed. Ant colony optimization (ACO) techniques are employed in this study for reservoir operation, where a collection of cooperative agents called ants can achieve near-optimal reservoir operation. To use ACO algorithms, a finite horizon with an inflow time series is a primary assumption. The Mahanadi Reservoir Project comprises a multireservoir system, which makes the optimum operation complex and uncertain for such a reservoir. Furthermore, the ACO technique was employed to optimize the operation of the Mahanadi Reservoir Project Complex. Traditional water resource optimization models have failed due to the increasing number of decision variables and time constraints. The ACO model outperforms the existing operational policy, and the average percentage change in reliability, resilience, and sustainability suggests an increase of up to 12.79%, 3.98%, and 15.48%, respectively, while the vulnerability is reduced by up to 10.28%. Therefore, the ACO algorithm is a novel and promising method for finding optimal reservoirs. It is worth investigating for future applications in the field of water resource systems.


Ant colony, Optimization, Reservoir operation, Water resource, Performance evaluation

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AFSHAR M. H., MARIÑO M.A. (2006). Application of an ant algorithm for layout optimization of tree networks, Engineering Optimization, Vol. 38, Issue 3, pp. 353-369.

AHMADIANFAR I., ZAMANI R. (2020). Assessment of the hedging policy on reservoir operation for future drought conditions under climate change, Climatic Change, Vol. 159, Issue 2, pp.253-268.

ALAMEDDINE I., FAYYAD A., ABOU NAJM M.A.J.D.I., EL-FADEL M., (2018). Sustainability of basin level development under a changing climate, Water Studies, Vol. 13, Issue 3, pp. 394-405.

ANANDA BABU, K., SHRIVASTAVA R.K., DIKSHIT M. (2015). Optimal Operation policies for Ravishankar Sagar reservoir-A case study, Journal of Indian water resources Society, Vol. 35, Issue 1, pp. 33-41.

ANUSHA N., VERMA M. K., BAJPAI S. (2017). Performance measures for Ravi Shankar Sagar reservoir using simulation-optimization models, Water Utility Journal Vol. 15, pp. 67-79.

ANUSHA N., VERMA M., BAJPAI S. (2016). Developing of monthly steady state optimum operating policies for Ravishankar Sagar Reservoir using stochastic Dynamic Programming, 4th Indian Water Week Conference, April, New Delhi, India.

AZHARUDDIN M., VERMA S., VERMA M.K., PRASAD A.D. (2022). A Synoptic-Scale Assessment of Flood Events and ENSO—Streamflow Variability in Sheonath River Basin, India, In: Rao C.M., Patra K.C., Jhajharia D., Kumari S. (eds) Advanced Modelling and Innovations in Water Resources Engineering. Lecture Notes in Civil Engineering, Vol. 176, pp. 93-104.

AZIZIPOUR M., GHALENOEI V., AFSHAR M. H., SOLIS S. S. (2016). Optimal operation of hydropower reservoir systems using weed optimization algorithm, Water Resources Management, Vol. 30, Issue 11, pp. 3995-4009.

BAYAZIT M., ÜNAL N.E. (1990). Effects of hedging on reservoir performance, Water resources research, Vol. 26, Issue 4, pp.713-719.

BLUM C. (2005). Ant colony optimization: Introduction and recent trends, Physics of Life reviews, Vol. 2, Issue 4, pp. 353-373.

CHENG C.T., WANG W.C., XU D.M., CHAU K.W. (2008). Optimizing hydropower reservoir operation using hybrid genetic algorithm and chaos, Water Resources Management, Vol. 22, Issue 7, pp. 895-909.

DESAI V.R., SHRIVASTAVA N.P. (2004). Ecology and fisheries of Ravishankar Sagar Reservoir, Central Inland Fisheries Research Institute, Indian Council of Agricultural Research, Barrackpore, Lolkata, Wes Bengal, India, pp. 1-60.

DHIWAR B.K., VERMA S., PRASAD A.D. (2022). Identification of Flood Vulnerable Area for Kharun River Basin by GIS Techniques, In: Rao C.M., Patra K.C., Jhajharia D., Kumari S. (eds) Advanced Modelling and Innovations in Water Resources Engineering. Lecture Notes in Civil Engineering, Vol. 176, pp. 385-408.

DORIGO M. (1992). Optimization, learning and natural algorithms, Ph.D. Thesis, Politecnico di Milano.

DORIGO M., BLUM C. (2005). Ant colony optimization theory: A survey, Theoretical computer science, Vol. 344, Issue 2-3, pp. 243-278.

DORIGO M., GAMBARDELLA L.M. (1997). Ant colonies for the traveling salesman problem, biosystems, Vol. 43, Issue 2, pp. 73-81.

DORIGO M., MANIEZZO V., COLORNI A. (1996). Ant system: optimization by a colony of cooperating agents, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Vol. 26, Issue 1, pp. 29-41.

FOWLER H.J., KILSBY C.G., O'CONNELL P.E. (2003). Modeling the impacts of climatic change and variability on the reliability, resilience, and vulnerability of a water resource system, Water resources research, Vol. 39, Issue 8, pp. 1-11.

GHASHGHAIE M., MAROFI S., MAROFI H. (2014). Using system dynamics method to determine the effect of water demand priorities on downstream flow, Water resources management, Vol. 28, Issue 14, pp. 5055-5072.

GOHARIAN E., BURIAN S.J., KARAMOUZ M. (2018). Using joint probability distribution of reliability and vulnerability to develop a water system performance index, Journal of Water Resources Planning and Management, Vol. 144, Issue 2, Paper 04017081.

GUO S., CHEN J., LI Y., LIU P., LI T. (2011). Joint operation of the multireservoir system of the Three Gorges and the Qingjiang cascade reservoirs, Energies, Vol. 4, Issue 7, pp.1036-1050.

HASHIMOTO T., STEDINGER J.R., LOUCKS D.P. (1982). Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation, Water resources research, Vol. 18, Issue 1, pp.14-20.

HE Y., XU Q., YANG S., LIAO L. (2014). Reservoir flood control operation based on chaotic particle swarm optimization algorithm, Applied Mathematical Modelling, Vol. 38, Issue 17-18, pp. 4480-4492.

JALALI M.R., AFSHAR A., MARINO M.A. (2007). Multicolony ant algorithm for continuous multireservoir operation optimization problem, Water Resources Management, Vol. 21, Issue 9, pp. 1429-1447.

JALALI M. (2007). Salinization of groundwater in arid and semiarid zones: an example from Tajarak, western Iran, Environmental Geology, Vol. 52, Issue 6, pp.1133-1149.

JURY W.A., VAUX Jr H.J. (2007). The emerging global water crisis: managing scarcity and conflict between water users, Advances in agronomy, Vol. 95, pp.1-76.

KAPELAN Z.S., SAVIC D.A., WALTERS G. A. (2005). Multiobjective design of water distribution systems under uncertainty, Water Resources Research, Vol. 41, Issue 11, p. w11407.

LABADIE J.W. (2004). Optimal operation of multireservoir systems: State-of-the-art review, Journal of water resources planning and management, Vol. 130, Issue 2, pp.93-111.

LARSON K.L., POLSKY C., GOBER P., CHANG H., SHANDAS V. (2013). Vulnerability of water systems to the effects of climate change and urbanization: A comparison of Phoenix, Arizona and Portland, Oregon (USA), Environmental management, Vol. 52, Issue 1, pp. 179-195.

LI S., LIU Y., YU H. (2006). Parameter Estimation Approach in Groundwater Hydrology Using Hybrid Ant Colony System, In: Huang DS., Li K., Irwin G.W. (eds) Computational Intelligence and Bioinformatics, ICIC 2006. Lecture Notes in Computer Science, Vol. 4115, pp. 182-191.

LOUCKS D.P. (1997). Quantifying trends in system sustainability, Hydrological Sciences Journal, Vol. 42, Issue 4, pp. 513-530.

LU B., LI K., ZHANG H., WANG W., GU H. (2013). Study on the optimal hydropower generation of Zhelin reservoir, Journal of Hydro-Environment Research, Vol. 7, Issue 4, pp. 270-278.

MAIER H.R., SIMPSON A.R., ZECCHIN A.C., FOONG W.K., PHANG K.Y., SEAH H.., TAN C. (2003). Ant colony optimization for design of water distribution systems, Journal of water resources planning and management, Vol. 129, Issue 3, pp. 200-209.

MANGUKIYA N.K., MEHTA D.J., JARIWALA R. (2022). Flood frequency analysis and inundation mapping for lower Narmada basin, India, Water Practice & Technology, Vol. 17, Issue 2, pp. 612-622.

MEHTA D.J., YADAV S.M. (2020). Hydrodynamic simulation of river Ambica for riverbed assessment: a case study of Navsari Region, In Advances in Water Resources Engineering and Management, Vol. 39, pp. 127-140.

MEHTA D.J., ESLAMIAN S., PRAJAPATI K. (2022). Flood modelling for a data-scare semiarid region using 1-D hydrodynamic model: a case study of Navsari Region, Modeling Earth Systems and Environment, Vol. 8, Issue 2, pp. 2675-2685.

MEHTA D.J., RAMANI M.., JOSHI M.M. (2013a). Application of 1-D HEC-RAS model in design of channels, Methodology, Vol. 1, Issue 7, pp. 4-62.

MEHTA D.J., YADAV S.., WAIKHOMS. (2013b). Geomorphic channel design and analysis using HEC-RAS hydraulic design functions, International Global Journal of Research Analysis, Vol. 2, Issue 4, pp. 90-93.

MEHTA D.J, YADAV S.M., WAIKHOM S., PRAJAPATI K. (2020). Stable channel design of Tapi River using HEC-RAS for Surat Region, In Environmental processes and management Vol. 91, pp. 25-36.

MEZENNER N., BENKACI T., BERMAD A., DECHEMI N. (2022). Dam reservoir operation optimization using genetic algorithm and principal component analysis simulation model - case of dam Ghrib reservoir, Larhyss Journal, No 51, pp. 145-160.

MOHAMMED M.N., DAHAM B.F. A., MOHAMMED K.S. (2018). Darbandikhan reservoir operation optimization using ant colony optimization algorithm, Zanco Journal of Pure and Applied Sciences, Vol. 30, Issue 1, pp. 135-141.

OLIVEIRA R., LOUCKS D.P. (1997). Operating rules for multireservoir systems, Water resources research, Vol. 33, Issue 4, pp. 839-852.

OPRICOVIC S., ECCHER L., ISAILOVSKI M. (1991). An optimization procedure for water reservoir planning, Yugoslav Journal of Operations Research, Vol. 1, Issue 2, pp. 225-233.

PANDEY P., MISHRA R., CHAUHAN R.K. (2022). Future prospects in the implementation of a real-time smart water supply management and water quality monitoring system, Larhyss Journal, No 51, pp. 237-252.

PATEL S.B., MEHTA D J., YADAV S. M. (2018). One dimensional hydrodynamic flood modeling for Ambica River, South Gujarat, Journal of Emerging Technologies and Innovative Research, Vol. 5, Issue 4, pp. 595-601.

POHLHEIM H. (2005). Geatbx introduction–evolutionary algorithms: Overview, methods and operators, Documentation for: GEATbx version, 3.5a, pp. 1-79.

PRADHAN D., SAHU R.T, VERMA M.K. (2022) Flood inundation mapping using GIS and Hydraulic model (HEC-RAS): a case study of the Burhi Gandak river, Bihar, India. In: Kumar R, Ahn CW, Sharma TK, Verma OP and Agarwal A (eds) Soft Computing: Theories and Applications. Lecture Notes in Networks and Systems, Vol. 425, pp. 135-145.

RANI D., MOREIRA M.M. (2010). Simulation–optimization modeling: a survey and potential application in reservoir systems operation, Water Resources Management, Vol. 24, Issue 6, pp.1107-1138.

REDDY M.J., KUMAR D.N. (2006). Optimal reservoir operation using multiobjective evolutionary algorithm, Water Resources Management, Vol. 20, Issue 6, pp.861-878.

RIJSBERMAN F.R. (2006). Water scarcity: fact or fiction? Agricultural water management, Vol. 80, Issue 1-3, pp. 5-22.

SAHU R.T., VERMA M.K., AHMAD I., (2021a). Some nonuniformity patterns spread over the lower Mahanadi River basin, India, Geocarto International.

SAHU R.T., VERMA M.K., AHMAD I., (2021b). Segmental variability of precipitation in the Mahanadi River basin during 1901-2017, Preprint (Version 1) available at Research Square.

SAHU R.T., VERMA M. K., AHMAD I. (2021c). Characterization of precipitation in the subdivisions of the Mahanadi River basin, India, Acta Scientific Agriculture, Vol. 5, Issue 12, pp. 50-61.

SAHU R.T., VERMA M.K., AHMAD I. (2021d). Regional Frequency Analysis Using L-Moment Methodology—A Review, In: Pathak KK, Bandara JMSJ and Agrawal R (eds) Recent Trends in Civil Engineering, Lecture Notes in Civil Engineering, Vol. 77, pp.811-832.

SAHU R.T., VERMA M.K., AHMAD I. (2022a). Interpreting different timeslot precipitation characteristics in the Seonath River basin, Chhattisgarh during 1901-2017, In: Reddy K.R., Kalia S., Tangellapalli S., Prakash D. (eds Recent Advances in Sustainable Environment, Lecture Notes in Civil Engineering, Vol. 285, pp. 21-37.

SAHU R.T., VERMA S., KUMAR K., VERMA M. K., AHMAD I. (2022b). Testing some grouping methods to achieve a low error quantile estimate for high resolution (0.25° x 0.25°) precipitation data, Journal of Physics: Conference Series, Vol. 2273, Paper 012017.

SECKLER D., BARKER R., AMARASINGHE U. (1999). Water scarcity in the twenty-first century, International Journal of Water Resources Development, Vol. 15, Issue 1-2, pp. 29-42.

SOCHA K., DORIGO M. (2008). Ant colony optimization for continuous domains, European Journal of Operational Research, Vol. 185, Issue 3, pp. 1155-1173.

VERMA S., PRASAD A.D., VERMA M.K. (2021). Trend Analysis and Rainfall Variability of Monthly Rainfall in Sheonath River Basin, Chhattisgarh, In: Pathak K.K., Bandara J.M.S.J., Agrawal R. (eds) Recent Trends in Civil Engineering. Lecture Notes in Civil Engineering, Vol. 77, pp. 777-790.

VERMA S., PRASAD A.D., VERMA M.K. (2022b). Trends of Rainfall and Temperature over Chhattisgarh During 1901–2010, In: Rao C.M., Patra K.C., Jhajharia D., Kumari S. (eds) Advanced Modelling and Innovations in Water Resources Engineering. Lecture Notes in Civil Engineering, Vol. 176, pp. 3-19.

WILLMOTT C.J. (1981). On the validation of models, Physical geography, Vol. 2, Issue 2, pp. 184-194.

ZECCHIN A.C., SIMPSON A.R., MAIER H.R., NIXON J.B. (2005). Parametric study for an ant algorithm applied to water distribution system optimization, IEEE transactions on evolutionary computation, Vol. 9, Issue 2, pp. 175-191.

ZHOU Y., GUO S., LIU P., XU C. (2014). Joint operation and dynamic control of flood limiting water levels for mixed cascade reservoir systems, Journal of Hydrology, Vol. 519, pp. 248-257.


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