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浏览/检索结果: 共1条，第1-1条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Energy-saving scheduling strategy for elevator group control system based on ant colony optimization (EI CONFERENCE) 会议论文 2010 IEEE Youth Conference on Information, Computing and Telecommunications, YC-ICT 2010, November 28, 2010 - November 30, 2010, Beijing, China Zhang J.-L.; Tang J.; Zong Q.; Li J.-F. 收藏  |  浏览/下载：17/0  |  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.