A traffic‐flow‐adaptive controller of double‐deck elevator systems using genetic network programming
A traffic‐flow‐adaptive controller of double‐deck elevator systems using genetic network programming
复制标题
使用遗传网络编程的双层电梯系统交通流自适应控制器
DOI：
10.1002/tee.20333
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发表时间：
2008
影响因子：
1
通讯作者：
S. Markon
中科院分区：
文献类型：
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作者：
Jin Zhou;Lu Yu;S. Mabu;K. Shimada;K. Hirasawa;S. Markon
双层电梯系统（DDES）首先被发明作为一种解决方案，以提高电梯群系统在上行高峰交通模式中的运输能力。当DDES以纯粹的上行高峰交通模式运行时，运输能力甚至可以增加一倍，其中两个连接的笼子在电梯往返中每两层停一次。然而，DDES的特殊性使得电梯系统在其他交通模式下运行时变得棘手。此外，由于几乎所有的交通流量在一天中不断变化，DDES的优化控制器，以适应不断变化的交通流量。在本文中，我们提出了一种自适应交通流的DDES控制器，使用遗传网络规划（GNP）在我们过去的研究在这一领域的基础上，其中的有效性，DDES控制器使用GNP已被验证在三个典型的交通模式。在DDES控制器的GNP框架中引入新的交通流判断部分，通过进化过程对GNP的不同部分进行功能定位，从而在不同的交通流模式下进行合适的笼型分配.仿真结果表明，该方法优于传统的方法和两种启发式方法在不同的交通流量在一个典型的办公楼的工作时间。Copyright © 2008日本电气工程师协会。由John Wiley & Sons公司出版
The double‐deck elevator system (DDES) has been invented firstly as a solution to improve the transportation capacity of elevator group systems in the up‐peak traffic pattern. The transportation capacity could be even doubled when DDES runs in a pure up‐peak traffic pattern where two connected cages stop at every two floors in an elevator round trip. However, the specific features of DDES make the elevator system intractable when it runs in some other traffic patterns. Moreover, since almost all the traffic flows vary continuously during a day, an optimized controller of DDES is required to adapt to the varying traffic flow. In this paper, we have proposed a controller adaptive to traffic flows for DDES using Genetic Network Programming (GNP) based on our past studies in this field, where the effectiveness of DDES controller using GNP has been verified in three typical traffic patterns. A new traffic flow judgment part was introduced into the GNP framework of DDES controller in this paper, and the different parts of GNP were expected to be functionally localized by the evolutionary process to make the appropriate cage assignment in different traffic flow patterns. Simulation results show that the proposed method outperforms a conventional approach and two heuristic approaches in a varying traffic flow during the working time of a typical office building. Copyright © 2008 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
功能定位遗传网络编程的电梯群监控系统
DOI：
--
发表时间：
2006
期刊：
Jounal of Advanced Computational Intelligence and Intelligent Informatics 10(3)
影响因子：
--
作者：
T.Eguchi;J.Zhou;S.Eto;K.Hirasawa;J.Hu;S.Markon
通讯作者：
S.Markon
使用带有强化学习的遗传网络编程的双层电梯系统
DOI：
--
发表时间：
2007
期刊：
影响因子：
--
作者：
森茂男;平澤宏太郎;古月敬之;L. Yu;S. Eto;K. Taboada;J. Zhou
通讯作者：
J. Zhou