Research on dynamic zoning of elevator traffic based on artificial immune algorithm

As the abbreviation for artificial immune system, AIS is an artificial intelligence approach newly put forward, which has been widely applied to many fields such as data analysis, multimodal function optimization, computer security, error detection, etc. Based on AIS, a novel approach was proposed for elevator traffic dynamic zoning with contiguous floors during the peak traffic. In this paper, the basic theory of AIS was firstly described, then the dynamic zoning model of elevator traffic was outlined in detail, and the artificial immune algorithm (AIA) was designed for the dynamic zoning model. Comparison was drawn among the dynamic zoning based on AIA, static zoning and non-zoning. The simulation results demonstrated the feasibility of the approach proposed in this paper. Due to its fast convergence, AIA is utilized to quickly search the optimal or suboptimal zoning of elevator traffic, so it is adaptive to variable traffic demands.