机构

• 长春光学精密机械与物... [2]
• 自动化研究所 [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [3]
• 期刊论文 [1]

发表日期

• 2020 [1]
• 2011 [1]
• 2010 [1]
• 2007 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256 作者:  Wei, Qinglai;  Wang, Lingxiao;  Liu, Yu;  Polycarpou, Marios M.   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/03/08 Elevators  Optimal control  Backpropagation  Machine learning  Neural networks  Learning (artificial intelligence)  Actor  –critic  adaptive dynamic programming  deep learning (DL)  elevator group control (EGC)  optimal control  reinforcement learning (RL)   Energy-consumption-related robust optimization scheduling strategy for elevator group control system (EI CONFERENCE) 会议论文  OAI收割 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems, CIS 2011, September 17, 2011 - September 19, 2011, Qingdao, China 作者:  Wang F.;  Wang F. 收藏  |  浏览/下载：31/0  |  提交时间：2013/03/25 Group elevator scheduling (GES) problem is an optimization problem. In this work  a robust optimization scheduling method is proposed to solve elevator group control system problem with passenger traffic flow uncertainty. An uncertain optimization model of elevator group scheduling is set up based on considering both energy consumption and waiting time. When considering the uncertainty of passenger traffic flow  the model is an uncertain optimization problem. It is tuned into its robust counterpart (RC) based on robust optimization theory. The simulation experiment presents the proposed scheduling method's scheduling performance. 2011 IEEE.   Energy-saving scheduling strategy for elevator group control system based on ant colony optimization (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE Youth Conference on Information, Computing and Telecommunications, YC-ICT 2010, November 28, 2010 - November 30, 2010, Beijing, China 作者:  Zhang J.-L.;  Li J.-F. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 Elevator group control scheduling is to dispatch every elevator to serve call requests from different floors based on some certain goal. It's a kind of typical combinatorial optimization problems. Ant colony algorithm is good at solving the discrete combinatorial optimization  its well global optimization ability and quick convergence velocity are both necessary to a scheduling algorithm. Moreover  reducing passengers' waiting and traveling time is the main focus of current dispatching algorithms  neglecting the energy consumed by the elevator system. So it's necessary to research on energy-saving algorithms. For the purpose of elevator group's energy-conservation run  the objective function of energy is built  ant colony model for elevator group control system is created  its optimization mechanism is figured out  and convergence of the algorithm is studied in this paper. Simulation results show the effectiveness of the strategy. 2010 IEEE.   Ant colony algorithm and fuzzy neural network-based intelligent dispatching algorithm of an elevator group control system 会议论文  OAI收割 IEEE International Conference on Control and Automation, Guangzhou, China, May 30 - June 1, 2007 作者:  Liu, Jianchang;  Liu YY(刘意杨) 收藏  |  浏览/下载：19/0  |  提交时间：2012/06/06 elevator group control  ant colony algorithm  fuzzy neural network  intelligent dispatching