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CAS IR Grid
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长春光学精密机械与物... [1]
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OAI收割 [1]
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会议论文 [1]
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2010 [1]
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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.
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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.