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西安交通大学 [34]

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	A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows 期刊论文 Expert Systems with Applications, 2022, 卷号: 198 作者: Zhu, Ningning; Zhao, Fuqing; Wang, Ling; Ding, Ruiqing; Xu, Tianpeng 收藏 \| 浏览/下载：32/0 \| 提交时间：2022/04/21 Fruits Iterative methods Job shop scheduling Learning algorithms Local search (optimization) Machine shop practice Manufacture Distributed no-wait flow-shop Due-window Fruit fly optimization Fruitflies Knowledge model No-wait flowshop Optimisations Probability knowledge model Variable neighborhood descend Variable neighbourhoods
	An automatic performance model-based scheduling tool for coupled climate system models 期刊论文 JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2019, 卷号: 132, 页码: 204-216 作者: Ding Nan; Xue Wei; Song Zhenya; Fu Haohuan; Xu Shiming 收藏 \| 浏览/下载：29/0 \| 提交时间：2019/08/19 Performance model Time-to-solution Scheduling Cyber-Physical system Automatic tool
	A hybrid biogeography-based optimization with variable neighborhood search mechanism for no-wait flow shop scheduling problem 期刊论文 EXPERT SYSTEMS WITH APPLICATIONS, 2019, 卷号: 126, 页码: 321-339 作者: Zhao, Fuqing; Qin, Shuo; Zhang, Yi; Ma, Weimin; Zhang, Chuck 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/11/15 Biogeography-based optimization No-wait flow shop scheduling problem Block neighborhood structure Markov model Path relink technique
	The Cascade Control of Natural Gas Pipeline Systems 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9 作者: Wen, Kai; Gong, Jing; Wu, Yan 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/19 natural gas pipeline state space model pipeline scheduling cascade control
	Generation Scheduling of a Hydrothermal System Considering Multiple Provincial Peak-Shaving Demands 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 46225-46239 作者: Shen, Jian-Jian; Shen, Qian-Qian; Wang, Sen; Lu, Jian-Yu; Meng, Qing-Xi 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/02 Peak-shaving generation scheduling load subsection optimization model multiple provincial power grids neighborhood search algorithm
	Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning 期刊论文 IEEE TRANSACTIONS ON SMART GRID, 2019, 卷号: 10, 期号: 5, 页码: 5246-5257 作者: Wan, Zhiqiang; Prokhorov, Danil; Li HP(李鹤鹏); He HB(何海波) 收藏 \| 浏览/下载：85/0 \| 提交时间：2019/09/15 Deep reinforcement learning model-free EV charging scheduling
	A V2I communication-based pipeline model for adaptive urban traffic light scheduling 期刊论文 FRONTIERS OF COMPUTER SCIENCE, 2019, 卷号: 13, 期号: 5 作者: Wu, Libing; Nie, Lei; Khan, Samee U.; Khalid, Osman; Wu, Dan 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/05 traffic light scheduling vehicular ad hoc networks pipeline model vehicle-to-infrastructure communication intersection
	Enhanced Robust Index Model for Load Scheduling of a Home Energy Local Network With a Load Shifting Strategy 期刊论文 IEEE ACCESS, 2019, 卷号: 7 作者: Ran, Xiaohong; Leng, Shipeng 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/05 Load scheduling enhanced robust Index model home energy local network (HELN) load shifting robust optimization
	Integer Programming Scheduling Model for Tier-to-Tier Shuttle-Based Storage and Retrieval Systems 期刊论文 PROCESSES, 2019, 卷号: 7, 期号: 4 作者: Zhao, Xiaofeng; Wang, Yanyan; Wang, Yunge; Huang, Ke 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/11 tier-to-tier shuttle-based storage and retrieval system integer programming scheduling model Gurobi linear programming solver task scheduling optimization
	Electric vehicle charging schedule considering user\'s charging selection from economics 期刊论文 IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 卷号: Vol.13 No.15, 页码: 3388-3396 作者: Chen, J; Huang, XQ; Tian, SM; Cao, YJ; Huang, BC 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/12/17 particle swarm optimisation distribution networks battery powered vehicles scheduling optimisation electric vehicles power distribution economics power grids electric vehicle charging schedule considering user large-scale EV applications optimal scheduling EV users deviation power grid schedule multiobjective scheduling method optimal EV charging charging selection user constraint charging preferences scheduling model ideal scheduling actual scheduling EV user

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