Sites Selection of ATMs Based on Particle Swarm Optimization

Abstract

The site selection and layout of automatic teller machines (ATMs) are important parts of operation and management system of banks. Different addresses usually lead to different returns. It is difficult for us to decide which place is the best one. In this paper, we investigate on the factors of ATMs planning and location model, and make a judgment and forecast by the application of the model, in which we combined geographic information system (GIS) technology with the mathematical model. The preliminary experimental results demonstrate that the algorithm can efficiently address the issue mentioned above, and we also make a forecast in the end.