Journal of South China University of Technology(Natural Science Edition) ›› 2004, Vol. 32 ›› Issue (10): 46-50.

Previous Articles     Next Articles

Optimization of the Dynamic Zoning for Elevator Traffic Based on the Artificial Immune Algorithm

Li Zhong- hua   Mao Zong- yuan   Zheng Ri- rong   Wu Jian- ping   

  1. College of Automation Science&Engineering‚South China Univ.of Tech.‚Guangzhou510640‚Guangdong‚China
  • Received:2004-03-22 Online:2004-10-20 Published:2015-09-08
  • Contact: 李中华(1977-)‚男‚博士生‚主要从事智能控制理论与应用方面的研究. E-mail:honestlee@163.com
  • About author:李中华(1977-)‚男‚博士生‚主要从事智能控制理论与应用方面的研究.

Abstract: A newly developed artificial immune algorithm was proposed and employed to optimize the dynamic zoning for vertical elevator traffic‚thus implementing the optimization calculation of the elevator traffic for non-continuous floors.In this paper‚the dynamic zoning model of elevator traffic was clearly outlined‚and the artificial immune algo-rithm for the dynamic zoning model was designed.It was then simulated by comparison among different distributions of elevator traffic flow.The simulation results demonstrate that the dynamic zoning based on AIS is of excellent per-formance in handling uneven rea- l time up-peak traffic flow.The proposed algorithm can be utilized to rapidly search the optimal or sub-optimal zoning of elevator traffic and is of considerable practical value.

Key words: artificial immune algorithm, dynamic zoning, elevator traffic, optimization