Bastiaanssen, W.G., Allen, R.G., Droogers, P., D’Urso, G., & Steduto, P. (2007). Twenty-five years modeling irrigated and drained soils: State of the art. Agricultural Water Management, 92(3), 111-125. doi:10.1016/j.agwat.2007.05.013
Bowmer, K.H., & Meyer, W.S. (2014). Irrigation agriculture: Sustainability through holistic approaches to water use and innovation. Pp. 181-224, In Drinking Water and Water Management: New research, Nova Science Publishers.
Brown, P.D., Cochrane, T.A., & Krom, T.D. (2010). Optimal on-farm irrigation scheduling with a seasonal water limit using simulated annealing. Agricultural Water Management, 97(6), 892-900. doi:10.1016/j.agwat.2010.01.020
Chen, Z., Zhao, C., Wu, H., & Miao, Y. (2019). A water-saving irrigation decision-making model for greenhouse tomatoes based on genetic optimization TS fuzzy neural network. KSII Transactions on Internet and Information Systems, 13(6), 2925-2948. doi:10.3837/tiis.2019.06.009
Clemmens, A.J. (1987). Delivery system schedules and required capacities. Pp. 18-34, In Planning, operation, rehabilitation and automation of irrigation water delivery systems, American Society of Civil Engineers.
Das, B., Singh, A., Panda, S.N., & Yasuda, H. (2015). Optimal land and water resources allocation policies for sustainable irrigated agriculture. Land Use Policy, 42, 527-537. doi:10.1016/j.landusepol.2014.09.012
Edwards, E.C., & Nehra, A. (2020). Importance of Freshwater for Irrigation. Pp. 22-28, in: Goldestein, M.I, Dellasala,A.D. (Eds.), Encyclopedia of the World’s Biomes. Elsevier Inc, Washington doi:10.1016/B978-0-12-409548-9.11913-X
García-Vila, M., & Fereres, E. (2012). Combining the simulation crop model AquaCrop with an economic model for the optimization of irrigation management at farm level. European Journal of Agronomy, 36(1), 21-31. doi:10.1016/j.eja.2011.08.003
Goldberg, D.E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley-Longman, Publishing Co Inc. USA. 412 pages.
Guo, D., Olesen, J.E., Manevski, K., & Ma, X. (2021). Optimizing irrigation schedule in a large agricultural region under different hydrologic scenarios. Agricultural Water Management, 245, 106575. doi:10.1016/j.agwat. 2020.106575
Hosseinzade Kuhi, H., Ardestani, M., & Sarang, A. (2024). Optimum redesign of runoff harvesting channels to reduce vulnerability and increase reliability against climate change. Water and Soil Management and Modeling, 4(1), 85-101. doi:10.22098/mmws.2023.12222.1213. [In Persian]
Jorenush, M.H., Egdernezhad, A., Shahrokhnia, M.A., & Ebrahimi Pak, N.A. (2024). Evaluation of AquaCrop model for simulation of Wheat plant (Triticum) yield under different scenarios of agricultural management in Qazvin. Water and Soil Management and Modeling, 4(1), 1-16. doi:10.22098/mmws.2023.12533.1248. [In Persian]
Kahkhamoghadam, P., Ziaei, A.N., Davari, K., Kanooni, A., & Sadeghi, S. (2023). Optimal allocation of water and land in Moghan irrigation network using crop model and genetic algorithm. Iranian Journal Soil and Water Research, 53(12), 2921-2935. [In Persian]. doi:10.22059/ijswr.2023.352463.669411
Kanooni, A., & Monem, M.J. (2014). Integrated stepwise approach for optimal water allocation in irrigation canals. Irrigation and Drainage, 63(1), 12-21. doi:10.1002/ird.1798
Kanooni, A., & Monem, M.J. (2016). Allocation and water delivery scheduling optimization in irrigation networks. Iranian Journal of Irrigation and Drainage, 10(1), 12-23. https://sid.ir/paper/131725/fa [In Persian]
Khashei Siuki, A., Etminan, S., Shahidi, A., Pourreza Bilondi, M., & Jalali, V. (2024). Investigating the performance of the differential evolution algorithm in estimating soil hydraulic parameters. Water and Soil Management and Modeling, 4(1), 36-51. doi:10.22098/mmws.2023.12101.1202. [In Persian]
Kheir, A.M., Alkharabsheh, H.M., Seleiman, M.F., Al-Saif, A.M., Ammar, K.A., Attia, A., Zoghdan,.M.G., Shabana, M.M.A., Aboelsoud, H., & Schillaci, C. (2021). Calibration and validation of AQUACROP and APSIM models to optimize wheat yield and water saving in arid regions. Land, 10(12), 1375. doi:10.3390/land10121375
Kumar, V., & Yadav, S.M. (2019). Optimization of cropping patterns using elitist-Jaya and elitist- TLBO algorithms. Water Resources Management, 33(5), 1817-1833. doi:10.1007/s11269-019-02204-z
Kuo, S.F., Merkley, G.P., & Liu, C.W. (2000). Decision support for irrigation project planning using a genetic algorithm. Agricultural Water Management, 45(3), 243-266. doi:10.1016/S0378-3774(00)00081-0
Liu, Y., Yang, T., Zhao, R.H., Li, Y.B., Zhao, W.J., & Ma, X.Y. (2018). Irrigation canal system delivery scheduling based on a particle swarm optimization algorithm. Water, 10(9), 1281. doi:10.3390/w10091281
Ma, M., & Zhao, M. (2019). Research on an improved economic value estimation model for crop irrigation water in arid areas: from the perspective of water-crop sustainable development. Sustainability, 11(4), 1207. doi:10.3390/su11041207
Martínez-Romero, A., López-Urrea, R., Montoya, F., Pardo, J.J., & Domínguez, A. (2021). Optimization of irrigation scheduling for barley crop, combining AquaCrop and MOPECO models to simulate various water-deficit regimes. Agricultural Water Management, 258, 107219. doi:10.1016/j.agwat.2021.107219
Miglietta, P.P., Morrone, D., & Lamastra, L. (2018). Water footprint and economic water productivity of Italian wines with appellation of origin: Managing sustainability through an integrated approach. Science of The Total Environment, 633, doi:1280-1286.10.1016/j.scitotenv.2018.03.270
Monem, M.J., & Namdariyan, R. (2005). Application of simulated annealing (SA) techniques for optimal water distribution in irrigation canals. Irrigation and Drainage, 54(4), 365-373. doi:10.1002/ird.199
Monem, M.J., Najafi, M.R., & Khoshnavaz, S. (2007). Optimal water scheduling in irrigation networks using genetic algorithm. Iranian Journal of Soil and Water Research, 3(1), 1-11. https://sid.ir/paper/100139/fa. [In Persian]
Oad, R., Garcia, L., Kinzli, K.D., Patterson, D., & Shafike, N. (2009). Decision support systems for efficient irrigation in the Middle Rio Grande Valley. Journal of Irrigation and Drainage Engineering, 135(2), 177-185. doi:10.1061/(ASCE)0733-9437(2009)135:2(177)
Osroosh, Y., Peters, R.T., Campbell, C.S., & Zhang, Q. (2016). Comparison of irrigation automation algorithms for drip-irrigated apple trees. Computers and Electronics in Agriculture, 128, 87-99. doi:10.1016/j.compag.2016.08.013
Pardo, M.A., Navarro-González, F.J., & Villacampa, Y. (2022). An algorithm to schedule water delivery in pressurized irrigation networks. Computers and Electronics in Agriculture, 201, 107290. doi:10.1016/j.compag.2022.107290
Polinova, M., Salinas, K., Bonfante, A., & Brook, A. (2019). Irrigation optimization under a limited water supply by the integration of modern approaches into traditional water management on the cotton fields. Remote Sensing, 11(18), 2127. doi:10.3390/rs11182127
Qaderi Nasab, F., Qaderi, K., & Rahnama, M.B. (2015). Optimal programming for delivery and distribution of water irrigation network using evolutionary algorithms (the case study: the network irrigation at downstream of the Jiroft dam). Iranian Journal of Irrigation and Drainage, 9(5), 830-841. [In Persian]
Rabie, Z., Honar, T., & Bateni, M. (2016). Determination of optimal and and water allocation under limited water resources using soil water balance in Ordibehesht canal of Doroodzan water district. Iran Agricultural Research, 34(2), 21-28. doi:10.22099/IAR.2016.3454
Rath, A., Samantaray, S., Biswal, S., & Swain, P.C. (2018). Application of genetic algorithm to derive an optimal cropping pattern, in part of Hirakud command. Pp. 711-721, In: Progress in Computing, Analytics and Networking: Proceedings of ICCAN 2017. Springer Singapore. doi:10.1007/978-981-10-7871-2_68
Shen, H., Jiang, K., Sun, W., Xu, Y., & Ma, X. (2021). Irrigation decision method for winter wheat growth period in a supplementary irrigation area based on a support vector machine algorithm. Computers and Electronics in Agriculture, 182, 106032. doi:10.1016/j.compag.2021.106032
Suryavanshi, A.R. & Reddy, J.M. (1986). Optimal operation schedule of irrigation distribution systems. Agricultural Water Management, 11(1), 23-30. doi:10.1016/0378-3774(86)90033-8
Villacampa, Y., Navarro-González, F.J., Compañ-Rosique, P., & Satorre-Cuerda, R. (2019). A guided genetic algorithm for diagonalization of symmetric and Hermitian matrices. Applied Soft Computing, 75, 180-189. doi:10.1016/j.asoc.2018.11.004
Wang, Z., Reddy, J.M., & Feyen, J. (1995). Improved 0–1 programming model for optimal flow scheduling in irrigation canals. Irrigation and Drainage Systems, 9, 105-116. doi:10.1007/BF00881670
Wardlaw, R., & Bhaktikul, K. (2004). Application of genetic algorithms for irrigation water scheduling. Irrigation and Drainage: The journal of the International Commission on Irrigation and Drainage, 53(4), 397-414. doi:10.1002/ird.121
Zhang, F., He, C., Yaqiong, F., Hao, X., & Kang, S. (2022). Canal delivery and irrigation scheduling optimization based on crop water demand. Agricultural Water Management, 260, 107245. doi:10.1016/j.agwat.2021.107245
)