genetic algorithms

One of the core elements of water management and increase agricultural productivity is the efficient use of available resources. Due to increasing demand for agricultural products, increase the productivity of scarce resources is essential. Optimal utilization of these resources, in addition to meet the demand of the community as a major goal, can also increase operating income to be followed. One of the solutions for increasing productivity in the agricultural sectoris reforming the pattern of cultivation according to different parameters. In this study, using economic criteria, water requirements and crop season in the TOPSIS multi-criteria decision, efficient products were selected. Furthermore, by combining these results with the parameters of the water and common time development of products using a genetic algorithm, the optimal cultivation area allocated to each product specified. In addition, by using GIS spatial capabilities and parameters of different locations and combined with optimized data, map the optimal model has been developed crops. The results show that using the models used and the capabilities of GIS, suitable cropping pattern can be achieved, and, on average, raised by about 25% efficiency and the use of available resources.