particle swarm algorithm (pso)

Limitation of water resources in the earth has turned it as a valuable economic commodity. Accordingly, the agricultural sector of which according to studies has the largest wasted water should be managed. Therefore, it is advisable to use the application of methods and programming models such as the decision support system along with the abilities of GIS in order to management of the water resources. The simultaneous use and the combination of these two modern systems will bring into existence integrated management and correct decision in the allocation and distribution of water.
In the previous researches the investigators studied water allocation management in its statistical and descriptive field. Therefore, in this study by use of decision support system along with the capabilities of GIS has been presented a strategy for correct allocate, proper and optimization use from water in agricultural lands on the basis of spatiality. For this purpose, process of the temporal program of cultivation has been optimized primarily in irrigation networks by using of the Particle Swarm Optimization (PSO) algorithm. Then, descriptive data has been modeled in GIS and consequently, the procedures of performing spatial optimization algorithm and water allocation has been provided, automatically.
The results of this study, after the optimizing of water allocation on the studied lands, indicates that the amount of water shortage has reduced in the optimal allocation in comparison with the allocation as traditional and non-optimal, considerably.