Residence Site Selection According to Combination of PSO Algorithm & Linear Regression Case Study: Sanandaj City in IRAN

Today optimal residence site selection problem is important for a real world application.These areas should be located so that they could be appropriate in terms of cost, safety and the physical features of the landscape. The Parameters for selecting appropriate areas are: accessibility, attractiveness, physical characteristics of land (e.g. Fault, Slope and Elevation) .In this research we have used Linear Regression for weighting these parameters; and consequently, the PSO (Particle Swarm Optimization) algorithm is used for finding the most suitable situations. The case study in this research is Sanandaj city in Iran. This study on Sanandaj city is particularly important because this city is located in mountainous regions where finding the optimal zone is a multiple criteria problem.

کلیدواژه ها:

Linear Regression ، PSO ، Residences ، Site Selection