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基于蚁群算法思想的电梯群控运行条件解析 被引量:1

ANALYZING ABOUT TRAVEL CONDITIONS OF THE ELEVATOR GROUP CONTROL BASED ON THE ANT COLONY OPTIMUM AND ITS PRINCIPIA
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摘要 对电梯群控各种运行条件运用蚁群算法思想进行解析。在给出电梯群控系统硬件结构和软件结构的前提下.提出了电梯群控在各种运行条件下所应遵循的6条常识性的约束规则.并证明了三条定理性的约束规则.得到定理1、2和3。这为电梯群控系统进行智能算法设计和实际应用.以及轿厢的最优调度提供了必要条件。 There has analyzed for different kind of travel conditions of the elevator group control system by the ant colony optimum and its principia. The paper presents six kinds of the constraint rules with general knowledge which is followed during different kinds of traveling on the premise of the hardware configuration and software configuration of the elevator group control system is given. And it is proofed the formulas 1,2 and 3 of that followed its constraint rule. The necessary condition is provided in order to carry through intelligent algorithem design and its application and the optimal scheduling of the car.
出处 《中国电梯》 2015年第6期56-61,共6页 China Elevator
关键词 蚁群算法 电梯群控系统 约束规则 最优调度 Ant Colony Optimum Elevator Group Control System Constraint Rule Optimal Scheduling
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  • 1杨祯山,邵诚.电梯群控技术的现状与发展方向[J].控制与决策,2005,20(12):1321-1331. 被引量:70
  • 2Hoon Heo,Shingo Mabu ,Kotaro Hirasawa,et al. Elevator Group Supervisory Control System with Destination Floor Guidance System using Genetic Network Programming[C}.SICE-ICASE International Joint Conference 2006,Oct.18-2 |. 2006 in Bexco, Busan. Korea.5489-5493.
  • 3David L. Pepyne and Christos G. Cassandras. OPTIMAL DISPATCHING CONTROL FOR ELEVATOR SYSTEMS DURING UPPEAK TRAFFIC[C]. Proceedings of the 35th Conference on Decision and Control Kobe, Japan December 1996:3837-3842.
  • 4李中华,朱燕飞,李春华,毛宗源.基于人工免疫聚类算法的电梯交通流分析[J].华南理工大学学报(自然科学版),2003,31(12):26-29. 被引量:20

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