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IOPS:computational graph optimization based on inter-operators parallel scheduling
《High Technology Letters》2023年第1期50-59,共10页谢晓燕 XU Hao ZHU Yun HE Wanqi 
Supported by the National Key Research and Development Project of China(No.2020AAA0104603);the National Natural Science Foundation of China(No.61834005,61772417);the Shaanxi Province Key R&D Plan(No.2021GY-029).
To improve the inference efficiency of convolutional neural networks(CNN),the existing neural networks mainly adopt heuristic and dynamic programming algorithms to realize parallel scheduling among operators.Heuristic...
关键词：compile optimization convolutional neural network(CNN) inter-operator parallelism schedule(IOPS) operator replacement 
Artificial intelligence and end user tools to develop a nurse duty roster scheduling system
《International Journal of Nursing Sciences》2022年第3期373-377,共5页Franklin Leung Yee-Chun Lau Martin Law Shih-Kien Djeng 
Objectives A nurse duty roster is usually prepared monthly in a hospital ward.It is common for nurses to make duty shift requests prior to scheduling.A ward manager normally spends more than a working day to manually ...
关键词：Artificial intelligence COMPUTERS Nurses Nurse duty roster schedule Open source software 
Real-time Locally Optimal Schedule for Electric Vehicle Load via Diversity-maximization NSGA-II被引量：2
《Journal of Modern Power Systems and Clean Energy》2021年第4期940-950,共11页Hongqian Wei Jun Liang Chuanyue Li Youtong Zhang 
As distributed energy storage equipments, electric vehicles (EVs) have great potential for applications in power systems. Meanwhile, reasonable optimization of the charging time of EVs can reduce the users’ expense. ...
关键词：Electric vehicle(EV) locally optimal schedule multi-objective optimization diversity maximization genetic algorithm 
A parallel scheduling algorithm for reinforcement learning in large state space
《Frontiers of Computer Science》2012年第6期631-646,共16页Quan LIU Xudong YANG Ling JING Jin LI Jiao LI 
Acknowledgements This paper was supported by the National Natural Science Foundation of China （Grant Nos. 61272005, 61070223, 61103045, 60970015, and 61170020）, Natural Science Foundation of Jiangsu （BK2012616, BK2009116）, High School Natural Foundation of Jiangsu （09KJA520002）, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University （93K172012K04）.
The main challenge in the area of reinforcement learning is scaling up to larger and more complex problems. Aiming at the scaling problem of reinforcement learning, a scalable reinforcement learning method, DCS-SRL, i...
关键词：divide-and-conquer strategy parallel schedule SCALABILITY large state space continuous state space 
A Hybrid Algorithm for Satellite Data Transmission Schedule Based on Genetic Algorithm
《Defence Technology（防务技术）》2008年第3期203-208,共6页李云峰 武小悦 
A hybrid scheduling algorithm based on genetic algorithm is proposed in this paper for reconnaissance satellite data transmission.At first,based on description of satellite data transmission request,satellite data tra...
关键词：航天系统 人工智能理论 勘测技术 遗传算法 
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