Research on Traffic Mode of Elevator Applied Fuzzy C-Mean Clustering Algorithm Based on PSO

The scheduling algorithm is applied to elevator group for the optimal scheduling with different traffic mode, which will improve the performance of elevator group control system. The fuzzy C-mean (FCM) algorithm based on particle swarm optimization (PSO) is proposed to identify the traffic mode of elevator. The iterative process based on gradient descent in FCM algorithm is replaced by PSO algorithm, which makes the global search capability become stronger. Meanwhile the sensitivity to initial value of the FCM algorithm is decreased. And the realization process of the algorithm is given. The data of elevator traffic flow are collected from some office building, which is made up of test sample. The elevator traffic flow is classified by using the algorithm proposed. Compared with the FCM clustering algorithm, the results show that FCM algorithm based on PSO have better adaptability and better effect, and the recognition of elevator traffic mode is realized.