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检索条件"主题词=Scheduling algorithms"

共 8577 条记录，以下是671-680 订阅

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Multi-stage and Multi-objective Dynamic Optimization-Based scheduling of Uncertain Hybrid Renewable Energy Systems with Real-Time Energy Compensation 2nd

Multi-stage and Multi-objective Dynamic Optimization-Based ...

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2nd International Conference on Emerging Electronics and Automation, E2A 2022

作者： Pravin, P.S. Wu, Zhe Department of Electronics and Instrumentation Engineering National Institute of Technology Silchar Assam788010 India Department of Chemical and Biomolecular Engineering National University of Singapore Singapore117585 Singapore

ISBN: (纸本)9789819968541

Majority of the existing works on scheduling of hybrid renewable energy systems focus on offline methods that generally neglect forecasting errors of both supply and demand sides. The highly intermittent nature of renewable energy sources and the consumer demands can make this offline strategy highly challenging and inaccurate. Although various stochastic optimization-based techniques are discussed in literature to deal with these uncertainties, these methods generally work either on probabilistic model-based approaches that reflect the possible uncertainties or on uncertain parameter forecasting-based approaches, both of which can often become less realistic. In this work, a multi-stage real-time scheduling of a hybrid renewable energy based micro grid in the presence of uncertainties is implemented on to a wood pellet manufacturing industry based in Singapore that depends on the hybrid renewable energy sources for meeting its energy requirements. The two main objectives in the formulated optimization problem are to minimize the operational cost and carbon emissions associated with the energy generation. The incorporation of a multi-stage approach in the scheduling algorithm makes sure that the latest information of the uncertain parameters are updated which guarantees a better accuracy as compared to the conventional single-stage approach. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： scheduling algorithms

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Hybrid Grey-Wolf Algorithm approach for Solving energy efficient permutation flowshop scheduling problem with Setup Times 19

Hybrid Grey-Wolf Algorithm approach for Solving energy effic...

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19th International Conference on Future Networks and Communications, FNC 2024 / 21st International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2024 / 14th International Conference on Sustainable Energy Information Technology, SEIT 2024

作者： Pesaru, Vigneshwar Saddikuti, Venkataramanaiah Janardhanan, Mukund Department of Manufacturing and Systems Engineering University of Texas Arlington ArlingtonTX76019 United States Bank of America-Enterprise Operations Research 7105 Corporate Dr PlanoTX75024 United States Department of Operations Management Indian Institute of Management-Lucknow NOIDA Campus Uttar Pradesh 201307 India Department of Engineering University of Warwick Coventry United Kingdom

Energy efficient permutation flowshop scheduling problem (PFSP) is widely studied to reduce the energy consumption in manufacturing systems. Most traditional studies make the premise that setup time is a component of processing time. However, this assumption does not satisfy the small batches, more varieties manufacturing models criterion. Therefore, energy efficient PFSP with setup times thus becomes a pressing problem that needs to be resolved. The contribution of this paper includes: (1) a permutation flowshop scheduling problem (PFSP) mathematical model by considering energy consumed and setup time by each machine in the system;(2) a grey-wolf algorithm optimization with variable neighborhood search (VNS) method (GWO_VNS) is proposed for the multi-objective PFSP model;(3) solved 9 benchmarks problems of Taillard (1993) [8] for the minimization of flowtime (FT) and energy consumption (EC). The performance of the proposed GWO_VNS algorithm is evaluated on the benchmark problems selected from the published literature [15]. It is noted that the proposed algorithm performed better on both the objectives i.e., FT and EC minimization. Overall, the proposed algorithm achieved 33.25% and 30.56% average improvement in FT and EC minimization respectively on benchmark problems. © 2024 The Authors. Published by Elsevier B.V.

关键词： scheduling algorithms

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Multi-Time Scale Optimization scheduling Model for Over-Matched PV Station with Energy Storage 27

Multi-Time Scale Optimization Scheduling Model for Over-Matc...

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27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Zhu, Wenzhi Liu, Yixin Guo, Li Li, Yanrong Li, Xiliang Wu, Cuigu School of Electric and Information Engineering Tianjin University Tianjin China Xinte Energy Company Limited Xinjiang China

ISBN: (纸本)9784886864406

With the increasing PV installed capacity, some PV stations are experiencing overcapacity, where the installed capacity of PV exceeds the limit of the transformer, resulting in large curtailment of PV generation. Therefore, this paper proposes a multi-time scale optimization scheduling method for over-matched PV station with energy storage. Firstly, based on the multi-variate normal Copula method, the time autocorrelation of PV power and the conditional correlation with prediction are extracted Secondly, to enhance the stability of power generation while increasing the revenue of PV station, a multi-time scale optimization scheduling strategy is proposed. The day- ahead joint output of PV and energy storage has been kept as stable as possible, while the intra-day power generation plan is dynamic updated to address prediction deviations and real-time operation scheme is applied to track intraday plan curve. Finally, the effectiveness of the proposed method is verified based on a PV station in China. © 2024 The Institute of Electrical Engineers of Japan.

关键词： scheduling algorithms

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A Time-sensitive Traffic scheduling Algorithm for Industrial Network of Power Grid

A Time-sensitive Traffic Scheduling Algorithm for Industrial...

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2023 International Conference on Electronic, Electrical and Information Technology, EEIT 2023

作者： Wang, Xuanzhong Zhang, Yanan Li, Zhutian Beijing Fibrlink Communications Co. Ltd. Beijing China

Industrial Internet communications in power scenarios are highly time-sensitive and require low network latency and high stability. Therefore, in order to ensure the smooth operation of the automated production line, we propose a time-sensitive traffic scheduling (TsTS) algorithm combined with SRv6 technology based on the application background of industrial and civil converged networks. The method is: through the previous hop node sensing of network congestion Link congestion, and then adjust the detour path for time-sensitive traffic through Dijkstra's algorithm. Moreover, in order to effectively reduce the link overhead of SRH and prevent bandwidth waste caused by large IPv6 addresses, we also propose a node list compression algorithm for detour paths. The core method is to put only necessary nodes into SRH, that is, Sensitive traffic can be forwarded with the help of ordinary routing. Experiments show that this method performs well in terms of delay and link utilization. © Published under licence by IOP Publishing Ltd.

关键词： scheduling algorithms

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An Improved Genetic Algorithm for College Course scheduling 19th

An Improved Genetic Algorithm for College Course Scheduling

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19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2023

作者： Wang, Chenle Wang, Bin International Engineering College Xi’an University of Technology Xi’an710048 China School of Computer Science and Engineering Xi’an University of Technology Xi’an710048 China

ISBN: (纸本)9783031651250

The course scheduling is a NP-complete problem. At present, various intelligent optimization algorithms have provided many feasible solutions to the course scheduling problem in colleges and universities, with differentiated advantages and disadvantages. This work tries to design a general and efficient algorithm to solve the large-scale course scheduling. In particular, we analyze and model the problem of course scheduling in colleges and universities, and put forward the improved genetic algorithm to solve the problem of large course scheduling under various constraints. First, the teaching task number is stored in a two-dimensional time-class matrix, which represents the information of teachers, and a two-dimensional classroom matrix is established to store the classroom information of the class. Next, we apply the improved genetic algorithm to cross and mutate the time-class matrix to obtain new individuals, thereby adjusting the corresponding classroom matrix. Then, the excellent individual is selected from the parent and child generation, and iterated until the optimal individual is produced. Finally, experimental results show that the convergence speed of the proposed algorithm is faster and higher fitness values can be obtained. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： scheduling algorithms

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MOEA/D Algorithm for Bi-objective Robust Flow Shop scheduling Problem with United-scenario Neighborhood Structures 43

MOEA/D Algorithm for Bi-objective Robust Flow Shop Schedulin...

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43rd Chinese Control Conference, CCC 2024

作者： Yin, Dawei Wang, Bing Ni, Zhengbin Shanghai University School of Mechatronic Engineering and Automation Shanghai200444 China

ISBN: (纸本)9789887581581

This paper discusses a bi-objective robust flow shop scheduling problem with uncertain processing times described by discrete scenarios. The two objectives are to minimize the worst-scenario total tardiness and mean total tardiness across all the scenarios. In order to solve the problem discussed in this paper, one scenario neighborhood structures are designed and a hybrid algorithm developed by combining MOEA/D algorithm and tabu search(TS) operators. To verify the effectiveness of the hybrid algorithm, we use the simulation experiments to compare. The simulation experimental results show that the scenario neighborhoods have advantages in robust flow shop scheduling problem. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： scheduling algorithms

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An AGV scheduling Problem Based on Partial Charging Policy 30

An AGV Scheduling Problem Based on Partial Charging Policy

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30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Wang, Wei Sun, Hui Zhang, Mengxin Southeast University Department of Mechanical Engineering Nanjing China

ISBN: (纸本)9798350391916

Automated guided vehicles (AGVs) have become common devices in intelligent manufacturing environments. This paper studies a scheduling problem for AGVs, in which a fleet of homogeneous AGVs are used to deliver parts to workstations in a shop floor environment. Due to the limited battery capacity of the AGV, we have adopted a partial charging policy in this paper. The transportation tasks undertaken by each AGV and the charging operations on each AGV need to be scheduled. The objective is to minimize the makespan to complete all transportation tasks. A mixed integer programming model is presented to describe the AGV scheduling problem. A two-stage heuristic approach is proposed for problem-solving. For stage one, a hybrid genetic whale optimization algorithm (HGWOA) is developed to assign transportation tasks to each AGV. For stage two, a rule-based heuristic is proposed to schedule the assigned transportation tasks and charging operations for each AGV. Computational experiments show that the proposed solution procedures can solve the scheduling problem effectively and efficiently. © 2024 IEEE.

关键词： scheduling algorithms

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BachLedger: Orchestrating Parallel Execution with Dynamic Dependency Detection and Seamless scheduling 30

BachLedger: Orchestrating Parallel Execution with Dynamic De...

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30th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2024

作者： Yang, Yi Shang, Guangyong Qi, Guangpeng Ma, Zhen Liu, Yaxiong Tian, Jiazhou Duan, Aocheng Zhang, Meng Li, Jingying Ding, Xuan Tsinghua University School of Software Beijing China Inspur Yunzhou Industrial Internet Co. Ltd Shandong Jinan China Xidian University School of Cyber Engineering Shaanxi Xi'an China

ISBN: (纸本)9798331515966

Blockchain technology inherently necessitates redundant computation to achieve consensus among untrusted parties because of its fundamental threat model. This requirement, however, compromises system performance and impedes the widespread adoption of blockchain. To leverage existing physical resources, current research on high-performance consortium blockchain algorithms and architectures frequently employs cluster-node architectures to expand the parallel processing capability of traditional single physical nodes. Our investigation reveals a significant trend as the parallel capability of individual nodes improves. The idle time caused by synchronization of all transactions within each block, previously considered negligible, has become increasingly significant. To address this, we present BachLedger, which implements Seamless scheduling to fully utilize inter-block thread idle time, thereby augmenting system resource utilization and achieving overall performance improvements. Our experimental results demonstrate that our algorithm surpasses current state-of-the-art (SOTA) performance levels in high-performance consortium blockchains and effectively resolves the aforementioned synchronization issue. Furthermore, this scheduling algorithm offers enhanced scalability for BachLedger, positioning it as a promising solution for future blockchain implementations. © 2024 IEEE.

关键词： scheduling algorithms

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Intelligent Elastic scheduling Algorithm for Multi-Resource Low Earth Orbit Satellite Networks 3

Intelligent Elastic Scheduling Algorithm for Multi-Resource ...

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3rd International Conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2024

作者： Yang, Xinxin Huang, Rui Wu, Junyi Li, Jiahao Wang, Ying Wu, Weihong Liu, Jiang China Satellite Network Application Co. Ltd Beijing China Beijing University of Posts and Telecommunications Beijing China Purple Mountain Laboratories Nanjing China University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798331528386

With the rapid development of satellite technology, satellite systems have gradually evolved into complex networks integrating multiple resources, such as bandwidth, storage, and energy. Modern low earth orbit (LEO) satellite networks are playing an increasingly important role in global communication, navigation, and the Internet of things (IoT). However, as the number of satellites grows and the diversity of resources increases, the complexity of satellite resource scheduling has also intensified. Existing single-resource scheduling methods are insufficient to meet the demands of such complex networks. To address this issue, this paper proposes a multi-resource intelligent elastic scheduling (MRIES) algorithm, aimed at optimizing task allocation and scheduling, improving resource utilization, and maximizing task completion efficiency. Simulation results demonstrate the effectiveness of the proposed algorithm in multi-resource scheduling scenarios. © 2024 IEEE.

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A Virtual Cryptographic Card Resource Sharing Method Based on Lottery scheduling Optimization Algorithm 6

A Virtual Cryptographic Card Resource Sharing Method Based o...

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6th International Conference on Next Generation Data-Driven Networks, NGDN 2024

作者： Gao, Yi Wang, Daoyu Xia, Jing Fu, Xixi Wuhan Digital Engineering Institution Information and Electronics Department Wuhan China Wuhan Digital Engineering Institution Innovation Center for Gpu and Intelligent Computing System Technology Wuhan China

ISBN: (纸本)9798350388374

Given the pressing demands for high concurrency and throughput in secure business operations within cloud computing virtual environments, traditional I/O virtualization methods often lack the necessary latency guarantees for user cryptographic card computation tasks. Therefore, this paper explores a virtual cryptographic card resource sharing approach based on a lottery scheduling optimization algorithm, enabling multi-machine sharing and flexible allocation of crypto graphic cards. The study employs randomized scheduling based on the volume and waiting time of cryptographic computation tasks. By proportionally dividing cryptographic card resources, it enhances the timely responsiveness of virtual cryptographic computation tasks and reduces the uncertainty in resource allocation caused by the randomness of traditional lottery scheduling algorithms, thus balancing the computational requirements of different tasks for cryptographic computations. © 2024 IEEE.

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