华南理工大学学报(自然科学版) ›› 2004, Vol. 32 ›› Issue (10): 46-50.

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基于人工免疫算法的电梯交通动态分区的优化

李中华 毛宗源 郑日荣 伍建平   

  1. 华南理工大学 自动化科学与工程学院‚广东 广州510640
  • 收稿日期:2004-03-22 出版日期:2004-10-20 发布日期:2015-09-08
  • 通信作者: 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
  • 作者简介: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.

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.

摘要:  提出了一种利用新兴的人工免疫算法优化电梯高峰客流动态分区的新方法‚实现了非连续楼层的优化计算.剖析了电梯交通的动态分区模型‚设计了动态分区模型的人工免疫算法‚并对之做了比较仿真研究.仿真结果表明‚基于该算法的动态分区在处理客流分布不均匀的电梯交通时‚表现出良好的性能.该算法能快速地找到电梯交通的最优分区或者次最优分区‚具有一定的应用价值。

关键词:  人工免疫算法, 动态分区, 电梯交通, 优化 

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