Ahmadisharaf E, Kalyanapu AJ, Chung ES (2015) Evaluating the effects of inundation duration and velocity on selection of flood management alternatives using multi-criteria decision making. Water Resources Management 29(8):2543–2561
Alinejad M, Jolaei R, Shirani bidabadi F (2015) Determine the optimum cropping pattern of Babol city using linear programming, Second National Conference on Agriculture and Natural Resources Student scientific societies, University of Tehran, Karaj (In Persian)
Banihabib ME, Hosseinzadeh M, Peralta RC (2016b) Optimization of inter-sectorial water reallocation for arid-zone megacity-dominated area. Urban Water Journal 13(8):852-860
Bolouri-Yazdeli Y, Bozorg-Haddad O, Fallah-Mehdipour E, Mari˜no MA (2014) Evaluation of real-time operation rules in reservoir systems operation. Water Resources Management 28(3):715–729
Bozdağ A (2015) Combining AHP with GIS for assessment of irrigation water quality in Cumra irrigation district (Konya), central Anatolia, Turkey. Environmental Earth Science 73(12):8217–8236
Bozorg-Haddad O, Azarnivand A, Hosseini-Moghari SM, Loáiciga HA (2016) Development of a comparative multiple criteria framework for ranking pareto optimal solutions of a multiobjective reservoir operation problem. Journal of Irrigation and Drainage Engineering, 142(7):04016019
Chávez-Morales J, Mariٌo MA, Holzapfel EA (1987) Planning model of irrigation district. Journal of Irrigation and Drainage Engineering ASCE 113: 549–564
Chen L, McPhee J, Yeh WW-G (2007) A diversified multiobjective GA for optimizing reservoir rule curve. Advances in Water Resources 30:1082–1093
Davijani MH,
Banihabib ME,
Nadjafzadeh Anvar A,
Hashemi SR (2016) Multi-objective optimization model for the allocation of water resources in arid regions based on the maximization of socioeconomic efficiency. Water Resources Management 30(3):927-946
Deb K, Agrawal S, Pratap A, Meyarivan T (2002) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. IEEE Trans. Evol. Comput. 6(2):182–197
Doorenbos H, Kassam AH (1979) Yield response to water, irrigation and drainage Paper No. 33. FAO: Rome; 193 pp.
Ghahraman B, Sepaskhah AR (2004) Linear and non-linear optimization models for allocation of a limited water supply. Journal of Irrigation and Drainage Engineering 124(5):138–149
Ghasemi MM, Karamouz M, Shui LT (2016) Farm-based cropping pattern optimization and conjunctive use planning using piece-wise genetic algorithm (PWGA): a case study. Modeling Earth Systems and Environment 2:25, doi:10.1007/s40808-016-0076-z
Hwang CL, Yoon K (1981) Multiple attribute decision making: Methods and applications, a state of the art survey. Springer, NewYork.
Karamouz M, Zahraie B, Kerachian R, Eslami A (2010) Crop pattern and conjunctive use management: a case study. Irrigation and Drainage 59(2):161-173
Mahjouri N, Byzhani Manzar M (2013) Waste load allocation in Zarjoub rivers: Application of Borda aggregation method and Nash bargaining function. Iran-Water Resources Research 9(3):59-74 (In Persian)
Maji CC, Heady EO (1980) Optimal reservoir management and crop planning under deterministic and stochastic inflows. Water Resources Bulletin. 16:438–443
Matanga GB, Mariٌo MA (1979) Irrigation planning: 1. Cropping pattern. Water Resources Research 15:672–678
Mohammad Rezapour Tabari M, Soltani J (2013) Multi-objective optimal model for conjunctive use management using SGAs and NSGA-II models. Water Resources Management 27(1):37–53
Mohammadi H,
Sargazi A,
Dehbashi D,
Poudineh M (2016) Optimization of cropping pattern with an emphasis on social benefits in the rational exploitation of water (A Case Study of Fars Province). Journal of Environmental Science and Technology
17(4):107-115 (In Persian)
Panda SN, Khepar SD, Kaushal MP (1996) Inter-seasonal irrigation system planning for waterlogged sodic soils. Journal of Irrigation and Drainage Engineering ASCE 122:135–144
Raju KS, Kumar DN (2004) Irrigation planning using genetic algorithms. Water Resources Management 18(2):163-176
Ren L, Zhang Y,Wang Y, Sun Z (2007) Comparative analysis of a novel M-TOPSIS method and TOPSIS. Applied Mathematics Research eXpress 1–10
Sarker R, Ray T, (2009) An improved evolutionary algorithm for solving multi-objective crop planning models. Computers and Electronics in Agriculture 68(2):199-191
Ustinovichius L, Zavadskas EK, Podvezko V (2007) Application of a quantitative multiple criteria decision making (MCDM-1) approach to the analysis of investments in construction. Control and Cybernetics 36(1):251–268
Vedula S, Roger P (1981) Multiobjective analysis of irrigation planning in river basin development. Water Resources Research 17:1304–1310
Viteikiene M, Zavadskas EK (2007) Evaluating the sustainability of Vilnius city residential areas. Journal of Civil Engineering and Management 13(2):149-155
Yousefdost E (2015) Optimization of Cropping Pattern and agricultural water allocation in Qazvin plain using fakhteh and genetic algorithm, Msc thesis, Zabol University, College of Agriculture and Natural Resources (In Persian)
Zavadskas EK, Antucheviciene J, Razavi Hajiagha SH, Hashemi SS (2014) Extension of weighted aggregated sum product assessment withinterval-valued intuitionistic fuzzy numbers (WASPAS-IVIF). Applied Soft Computing 24:1013–1021
Zavadskas EK, Turskis Z, Antucheviciene J, Zakarevicius A (2012) Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika 6(122):3–6
Zeleny M (1973) Compromise programming. Multiple criteria decision making, J. L. Cochrane and M. Zeleny, ed., University of South Carolina Press, Columbia, SC