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Increasing the water productivity by cropping pattern optimization is one of the best ways for development in agriculture. In this study, in order to maximize farmers' income and minimize Blue water footprint of wheat, barley, alfalfa, and maize, the NSGA-II Multi-objective optimization algorithm and United Nations commission on sustainable development’, s indicator has been used in four cropping pattern scenarios in the 56 cities of the eastern provinces of Iran. The results showed that in some scenarios it was not possible to fully achieve these goals in the multi-objective model. The results also showed that the production of 50, 75 and 100% of the current values causes a low, moderate and severe water stress in the study region, that on average, save 55, 40 and 30% of the region's water resources, respectively. Implementation of this model in the study area would increase revenue, reduce water consumption and, consequently make more environmental sustainability.