Elevator Group-Control Policy with Destination Registration based on Hybrid Genetic Algorithms

摘要：

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.

关键词： genetic algorithms simplex method elevator group control system destination registration

作者: DaweiDai Junli Zhang Wei Xie Zheng Yin Yan Zhang

作者单位: College of Automation Science and Engineering, South China University of Technology, Guangzhou, Chin Guangri Elevator Industry Corporation, Guangzhou,China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 535-538

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）