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Equipment manufacturing job shop dynamic scheduling with worker fatigue and learning effect
Journal of Hebei University of Science and Technology, 2023 Aiming at the problem of integrating optimization of worker fatigue and learning effects faced by human and machine dual-resource scheduling in large equipment manufacturing workshops, a mixed-integer programming model was constructed based on ...
Chao GUO, Donghui HAO, Peng GUO
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Dynamic Fractional Resource Scheduling versus Batch Scheduling [PDF]
IEEE Transactions on Parallel and Distributed Systems, 2012 We propose a novel job scheduling approach for homogeneous cluster computing platforms. Its key feature is the use of virtual machine technology to share fractional node resources in a precise and controlled manner. Other VM-based scheduling approaches have focused primarily on technical issues or extensions to existing batch scheduling systems, while ...
Stillwell, Mark +2 more
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Evolutionary design of a full–envelope flight control system for an unstable fighter aircraft [PDF]
, 2010 The use of an evolutionary algorithm in the framework of H∞ control theory is being considered as a means for synthesizing controller gains that minimize a weighted combination of the infinite-norm of the sensitivity function (for disturbance attenuation
Avanzini, Giulio, Minisci, Edmondo
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Transactions of Nanjing University of Aeronautics and AstronauticsIntelligent production is an important development direction in intelligent manufacturing， with intelligent factories playing a crucial role in promoting intelligent production.
MA Yajie +5 more
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A Scheduling Algorithm for Cloud Computing System Based on the Driver of Dynamic Essential Path. [PDF]
PLoS ONE, 2016 To solve the problem of task scheduling in the cloud computing system, this paper proposes a scheduling algorithm for cloud computing based on the driver of dynamic essential path (DDEP).
Zhiqiang Xie, Xia Shao, Yu Xin
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Distributed data mining in grid computing environments [PDF]
, 2007 The official published version of this article can be found at the link below.The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with ...
Cannataro +7 more
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Dynamic scheduling on parallel machines
[1991] Proceedings 32nd Annual Symposium of Foundations of Computer Science, 1994 The authors consider on-line job-scheduling on parallel machines with different network topologies. An on-line scheduling algorithm schedules a collection of parallel jobs with known resource requirements but unknown running times on a parallel machine.
Feldmann, A. ; https://orcid.org/0000-0002-5530-6993 +2 more
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Deep Reinforcement Learning for Dynamic Flexible Job Shop Scheduling with Random Job Arrival
Processes, 2022 The production process of a smart factory is complex and dynamic. As the core of manufacturing management, the research into the flexible job shop scheduling problem (FJSP) focuses on optimizing scheduling decisions in real time, according to the changes
Jingru Chang +4 more
semanticscholar +1 more source
The Novel Heuristic for Data Transmission Dynamic Scheduling Problems
Journal of Applied Mathematics, 2013 The data transmission dynamic scheduling is a process that allocates the ground stations and available time windows to the data transmission tasks dynamically for improving the resource utilization.
Hao Xu, Yue Zhao, Li-Ning Xing, You Zhou
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Sensors, 2019 Emergency observations are missions executed by Earth observation satellites to support urgent ground operations. Emergency observations become more important for meeting the requirements of highly dynamic and highly time-sensitive observation missions ...
Jintian Cui, Xin Zhang
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