Ant colony algorithm and fuzzy neural network-based intelligent dispatching algorithm of an elevator group control system
文献类型：会议论文
| 作者 | Liu, Jianchang; Liu YY(刘意杨)
|
| 出版日期 | 2007 |
| 会议名称 | IEEE International Conference on Control and Automation |
| 会议日期 | May 30 - June 1, 2007 |
| 会议地点 | Guangzhou, China |
| 关键词 | elevator group control ant colony algorithm fuzzy neural network intelligent dispatching |
| 页码 | 414-418 |
| 中文摘要 | To improve the performance of elevator group control systems (EGCS), an intelligent dispatching method based on ant colony algorithm and fuzzy neural network is presented. An elevator group control system based on fuzzy neural network adapts to various traffic flow modes. Using ant colony algorithm to optimize the weights of fuzzy neural network before training with BP algorithm can solve the problem that convergence of weights is easy to be trapped in local optimal values when trained just with BP algorithm. This intelligent dispatching algorithm makes the weights of fuzzy neural network more precise and reasonable. These weights greatly affect the performance of an EGCS. The results of simulation show that ant colony algorithm and fuzzy neural network greatly improves the performance of an EGCS. Its average waiting time is obviously shorter than that of the EGCS that is only based on fuzzy neural network. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 2 |
| 会议主办者 | IEEE |
| 会议录 | 2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-0817-7 |
| WOS记录号 | WOS:000257195300083 |
| 源URL | [http://ir.sia.cn/handle/173321/8584]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Liu, Jianchang,Liu YY. Ant colony algorithm and fuzzy neural network-based intelligent dispatching algorithm of an elevator group control system[C]. 见:IEEE International Conference on Control and Automation. Guangzhou, China. May 30 - June 1, 2007. |
入库方式： OAI收割
来源：沈阳自动化研究所
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