中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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计算技术研究所 [1]
长春光学精密机械与物... [1]
生态环境研究中心 [1]
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OAI收割 [3]
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会议论文 [1]
学位论文 [1]
期刊论文 [1]
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2020 [1]
2010 [2]
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环境工程::纳米材料... [1]
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A virtualized data center energy-saving mechanism based on switching operating mode of physical servers and reserving virtual machines
期刊论文
OAI收割
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 页码: 13
作者:
Yin, Chunxia
;
Liu, Jian
;
Jin, Shunfu
  |  
收藏
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浏览/下载:37/0
  |  
提交时间:2020/12/10
cost function
energy-saving mechanism
Markov chain
virtualized data center
介孔材料上低温污染消除和绿色催化氧化反应过程
学位论文
OAI收割
博士, 北京: 中国科学院研究生院, 2010
麻春艳
收藏
  |  
浏览/下载:63/0
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提交时间:2011/07/25
节能减排
污染控制
绿色反应
介孔材料
反应机理
energy-saving and pollution-reducing
pollution control
green-chemistry reactions
mesoporous materials
reaction mechanism
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
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浏览/下载:26/0
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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.