Elevator group-control policy with destination registration based on hybrid genetic algorithms

This paper presents elevator group control system (EGCS) with destination registration based on the uncertainty of calculating data. It aims to obtain the accurate the average waiting time (AWT), the average riding time (ART) and riding power consumption (RPC) with the call signal received. The hybrid algorithms, which combine the global optimize ability of genetic algorithms and local fast convergent speed of simplex, has been employed. Simulation experiment reveals that this scheduling can achieve good control result and decrease the average waiting time (AWT), the average riding time (ART) and riding power consumption (RPC). Comparing with the traditional schedules of the genetic algorithms, It can enhance the efficiency of scheduler program.