تخصیص بهینه منابع آبی با استفاده از الگوریتم ژنتیک با رتبه بندی نامغلوب(مطالعه موردی: شبکه آبیاری حمیدیه)

1.Ahmadianfar, A., Adib, A., Taghian, A., and Haghighi, A. 2016. Optimization operation from storage dams using non-dominated sorting genetic algorithm. J. Irrig. Sci. Engin. 39: 2. 89-100. (In Persian)

2.Akbripour, H., and Masehian, E. 2013. Efficient and Robust Parameter Tuning for Heuristic Algorithms. Inter. J. Ind. Engin. Prod. Res. 24: 2. 143-150.

3.Allen, R.G., Pereira, L.S., Raes, D., and Smith, M. 1998. Crop evapotranspiration (guidelines for computing crop water requirements). Irrigation and Drainage paper NO.56. Rome, Italy, 174p.

4.Asaadi-Mehrabani, M., Banihabib, M.E., and Roozbahany, A. 2018. Fuzzy linear programming model for the optimization of cropping pattern in Zarrinehroud Basin. Iran-Water Resources Research. 14: 1. 13-24. (In Persian)

5.Deb, K. 2001. Multi-objective optimization using evolutionary algorithms. John wiley and sons, Hoboken, New Jersey, United States, 518p.

6.Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T. 2002. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation. 6: 2. 182-197.

7.Doorenbos, J., and Kassam, A.H. 1979. Yield response to water. Irrigation and Drainage paper No.33. Rome, Italy, 193p.

8.Garg, N.K., and Dadhich, S.M. 2014. A proposed method to determine yield response factors of different crops under deficit irrigation using inverse formulation approach. Agricultural Water Management. 137: 68-74.

9.Khashei Siuki, A., Ghahraman, B., and Kouchakzadeh, M. 2013. Application of agriculture water allocation and management by PSO optimization technic (Case study: Nayshabur Plaine). J. Water Soil. 27: 2. 292-303. (In Persian)

10.Lalehzari R., Boroomand Nasab, S., Moazed, H., and Haghighi, A. 2015. Optimal allocation of surface and groundwater resources to cropping pattern in Baghmalek plain by multi-objective planning based on
non-dominated sorting algorithm. Ph.D. Dissertation. Shahid Chamran University of Ahvaz, Ahvaz, Iran. 226p. (In Persian)

11.Mirzaee, S., Shahabi Far, M., and Sharifan, H. 2017. Determining the optimum cropping pattern in Golestan dam irrigation and drainage network using genetic algorithm. J. Irrig. Sci. Engin. 40: 3. 181-190. (In Persian)

12.Reddy, M.J., and Kumar, D.N. 2007. Multi-objective particle swam optimization for generating trade-offs in reservoir operation. Hydrological Processes. 21: 2897-2909.

13.Sadeghi, J., and Akhavan Niaki, S.T. 2015. Two parameter tuned multi-objective evolutionary algorithms for a bi-objective vendor managed inventory model with trapezoidal fuzzy demand. Applied soft computing. 30: 567-576.

14.Stewart, J.I., Hagan, R.M., and Pruit, W.O. 1976. Production functions and predicted irrigation programmes for principal crops as required for water resources planning and increased water use efficiency. US Department of Interior, Washington DC, United States, 80p.

15.Tavakoli, A.R., Liaghat, A., and Mahdavi Moghaddam, M. 2012. Water allocation pattern under conjunctive use of advanced management and single irrigation scenarios in rainfed areas. J. Water Res. Agric. 25: 2. 93-106. (In Persian)

16.Zargan, J., and Waez-Mousavi, S.M. 2016. Water crisis in Iran: its intensity, causes and confronting strategies. Ind. J. Sci. Technol. 9: 44. 2-6.