中国科学院机构知识库网格系统: 检索

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	Swarm Intelligence-Based Task Scheduling for Enhancing Security for IoT Devices 期刊论文 OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 6, 页码: 1756-1769 作者: Zhou, Junlong; Shen, Yufan; Li, Liying; Zhuo, Cheng; Chen, Mingsong \| 收藏 \| 浏览/下载：54/0 \| 提交时间：2023/12/04 Security Internet of Things Task analysis Logic gates Servers Particle swarm optimization Optimization Energy efficiency fund Index Terms Internet of Things (IoT) mixed-integer linear programming (MILP) security swarm intelligence task scheduling
	Fine-Grained Resource Provisioning and Task Scheduling for Heterogeneous Applications in Distributed Green Clouds 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1380-1393 作者: Haitao Yuan; MengChu Zhou; Qing Liu; Abdullah Abusorrah \| 收藏 \| 浏览/下载：43/0 \| 提交时间：2021/03/11 Bees algorithm data centers distributed green cloud (DGC) energy optimization intelligent optimization simulated annealing task scheduling machine learning
	Optimal scheduling for energy harvesting mobile sensing devices 期刊论文 OAI收割 COMPUTER COMMUNICATIONS, 2016, 卷号: 75, 页码: 62-70 作者: Fang, Weiwei; Zhao, Xiaojie; An, Yuan; Li, Jing; An, Zhulin \| 收藏 \| 浏览/下载：37/0 \| 提交时间：2019/12/13 Mobile sensor Energy-harvesting Lyapunov optimization Dynamic scheduling Queueing analysis
	Energy efficient genetic-based schedulers in computational grids 期刊论文 OAI收割 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2015, 卷号: 27, 期号: 4(SI), 页码: 894-903 作者: Kolodziej, Joanna; Khan, Samee Ullah; Wang, Lizhe; Zomaya, Albert Y. 收藏 \| 浏览/下载：36/0 \| 提交时间：2016/04/20 distributed environments grid computing scheduling multi-objective optimization energy awareness Makespan
	Optimization and Scheduling of Byproduct Gas System in Steel Plant 期刊论文 OAI收割 JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL, 2015, 卷号: 22, 期号: 5, 页码: 408-413 作者: Yang Jinghui; Cai Jiuju; Sun Wenqiang; Liu Jingyu \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2021/02/02 MILP MODEL IRON-MAKING ENERGY PREDICTION INDUSTRY iron and steel industry byproduct gas energy saving optimization scheduling
	Scenario-based Stochastic Programming Strategy for Microgrid Energy Scheduling Considering Uncertainties 会议论文 OAI收割 2014 2nd International Conference on Renewable Energy and Environmental Technology (REET 2014), Dalian, China, August 19-20, 2014 作者: Li HP(李鹤鹏); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li ZW(李忠文) 收藏 \| 浏览/下载：39/0 \| 提交时间：2014/12/29 Microgrid energy scheduling optimization stochastic programming scenarios generation
	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：48/0 \| 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：41/0 \| 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.