Search Results - Multi-phase dynamic scheduling algorithm

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  1. 1

    A dynamic material distribution scheduling of automotive assembly line considering material-handling errors by Zhou, Binghai, Wen, Mingda

    ISSN: 0264-4401, 1758-7077
    Published: Bradford Emerald Publishing Limited 14.07.2023
    Published in Engineering computations (14.07.2023)
    “… into the material distribution problem of mixed-model assembly lines (MMALs).Design/methodology/approachA multi-phase dynamic scheduling (MPDS…”
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    Journal Article
  2. 2

    A novel dynamic scheduling strategy for solving flexible job-shop problems by Ning, Tao, Huang, Ming, Liang, Xu, Jin, Hua

    ISSN: 1868-5137, 1868-5145
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2016
    “…A simulation model was established, minimizing the makespan and stability value, to solve the dynamic scheduling of flexible job-shop problems, and an improved hybrid multi-phase quantum particle…”
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    Journal Article
  3. 3

    Demand-Oriented Robust Service Allocation with Multi-Phase Task Matching in Satellite Networks by Chen, Donghui, Yang, Yating, Sang, Huanyu, Song, Tian

    ISSN: 1938-1883
    Published: IEEE 08.06.2025
    “…) with a multi-phase task matching approach. Our method begins with a static matching phase to establish an initial user demand-service match, followed by a dynamic matching…”
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    Conference Proceeding
  4. 4

    An Efficient Metaheuristic Algorithm for Job Shop Scheduling in a Dynamic Environment by Zhang, Hankun, Buchmeister, Borut, Li, Xueyan, Ojstersek, Robert

    ISSN: 2227-7390, 2227-7390
    Published: Basel MDPI AG 01.05.2023
    Published in Mathematics (Basel) (01.05.2023)
    “…This paper proposes an Improved Multi-phase Particle Swarm Optimization (IMPPSO) to solve a Dynamic Job Shop Scheduling Problem (DJSSP…”
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    Journal Article
  5. 5
  6. 6

    Heterogeneous Warm Standby Multi-Phase Systems With Variable Mission Time by Levitin, Gregory, Liudong Xing, Zonouz, Amir Ehsani, Yuanshun Dai

    ISSN: 0018-9529, 1558-1721
    Published: New York IEEE 01.03.2016
    Published in IEEE transactions on reliability (01.03.2016)
    “…: G warm standby phased-mission systems (PMS) with dynamic phase durations. The model takes into account diverse, phase-dependent performances and time-to-failure distributions of system elements…”
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    Journal Article
  7. 7

    Multi-phase dynamic constraint aggregation for set partitioning type problems by Elhallaoui, Issmail, Metrane, Abdelmoutalib, Soumis, François, Desaulniers, Guy

    ISSN: 0025-5610, 1436-4646
    Published: Berlin/Heidelberg Springer-Verlag 01.06.2010
    Published in Mathematical programming (01.06.2010)
    “… This aggregation is updated when needed to ensure the exactness of the overall approach. In this paper, we propose a new version of this method, called the multi-phase dynamic…”
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    Journal Article
  8. 8

    Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity by Wang, Mingjie, Guo, Jianxiong, Jia, Weijia

    ISSN: 2691-4581, 2691-4581
    Published: IEEE 01.05.2024
    “…Federated learning (FL) is a decentralized learning method used to train machine learning algorithms…”
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    Journal Article
  9. 9

    A Low-Carbon Economic Scheduling Strategy for Multi-Microgrids with Communication Mechanism-Enabled Multi-Agent Deep Reinforcement Learning by Nie, Lei, Long, Bo, Yu, Meiying, Zhang, Dawei, Yang, Xiaolei, Jing, Shi

    ISSN: 2079-9292, 2079-9292
    Published: Basel MDPI AG 01.06.2025
    Published in Electronics (Basel) (01.06.2025)
    “… intraday microgrid dispatch with a multi-phase carbon cost calculation mechanism. A probabilistic carbon flux quantification model is developed, incorporating source…”
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    Journal Article
  10. 10

    Sustainable Scheduling of an Automatic Pallet Changer System by Multi-Objective Evolutionary Algorithm with First Piece Inspection by Liao, Qingmiao, Yang, Jianjun, Zhou, Yong

    ISSN: 2071-1050, 2071-1050
    Published: Basel MDPI AG 12.03.2019
    Published in Sustainability (12.03.2019)
    “… An enhanced evolutionary algorithm for APC scheduling (APCEA) is developed by combining the multi-objective evolutionary algorithm with APC simulation…”
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    Journal Article
  11. 11

    Process Control and Smart Manufacturing for Industry 4.0

    ISBN: 3036565965, 9783036565972, 3036565973, 9783036565965
    Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
    “…This reprint, entitled “Process Control and Smart Manufacturing for Industry 4.0”, contains the extended papers from the Series of annual IFSA conferences on…”
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    eBook
  12. 12

    Reinforcement Learning for Efficient Multi-phase Resource Allocation by Zhang, Zhenfu, Yin, Haiyan, Zuo, Liudong, Zhang, Xiao, Zhu, Jianlin, Fan, Yuxuan, Lai, Pan

    Published: IEEE 13.12.2024
    “… Numerous works in the literature apply the greedy algorithm to nonconcave utility functions, resulting in suboptimal solution due to the short-sighted behaviors…”
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    Conference Proceeding
  13. 13

    Process Control and Smart Manufacturing for Industry 4.0

    ISBN: 3036565965, 9783036565972, 3036565973, 9783036565965
    Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
    “…This reprint, entitled “Process Control and Smart Manufacturing for Industry 4.0”, contains the extended papers from the Series of annual IFSA conferences on…”
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    eBook
  14. 14

    Dynamic multi phase scheduling for heterogeneous cluste by Ciorba, Florina M., Andronikos, Theodore, Riakiotakis, Ioannis, Chronopoulos, Anthony T., Papakonstantinou, George

    ISBN: 1424400546, 9781424400546
    Published: Washington, DC, USA IEEE Computer Society 25.04.2006
    “… In the past, a variety of dynamic scheduling schemes suitable for parallel loops (with independent iterations…”
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    Conference Proceeding
  15. 15

    Design and Implementation of Flexible Workshop Scheduling System by Xuan, Jiao, Hui, Huang

    Published: IEEE 01.04.2020
    “… optimization algorithms. A hybrid multi-phase quantum particle swarm algorithm has been proposed on the basis of the quantum particle swarm optimization in this paper…”
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    Conference Proceeding
  16. 16

    A multi-phase constructive heuristic for the vehicle routing problem with multiple trips by Petch, R.J, Salhi, S

    ISSN: 0166-218X, 1872-6771
    Published: Lausanne Elsevier B.V 15.11.2003
    Published in Discrete Applied Mathematics (15.11.2003)
    “… A multi-phase constructive heuristic, which is enhanced by suitable data structure, is proposed…”
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    Journal Article Conference Proceeding
  17. 17

    Scheduling in Remanufacturing Systems: A Bibliometric and Systematic Review by Zheng, Yufan, Zhang, Wenkang, Wang, Runjing, Ahmad, Rafiq

    ISSN: 2075-1702, 2075-1702
    Published: Basel MDPI AG 01.09.2025
    Published in Machines (Basel) (01.09.2025)
    “… This study delivers an integrated overview of remanufacturing scheduling by combining a systematic bibliometric review of 190 publications (2005–2025…”
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    Journal Article
  18. 18

    Dynamic multi phase scheduling for heterogeneous clusters by Ciorba, F.M., Andronikos, T., Riakiotakis, I., Chronopoulos, A.T., Papakonstantinou, G.

    ISBN: 1424400546, 9781424400546
    ISSN: 1530-2075
    Published: IEEE 2006
    “… In the past, a variety of dynamic scheduling schemes suitable for parallel loops (with independent iterations…”
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    Conference Proceeding
  19. 19

    On-Line Train Speed Profile Generation of High-Speed Railway With Energy-Saving: A Model Predictive Control Method by Zhong, Weifeng, Li, Shukai, Xu, Hongze, Zhang, Wenjing

    ISSN: 1524-9050, 1558-0016
    Published: New York IEEE 01.05.2022
    “… The optimal control problem in the horizon is transformed into a multi-phase optimal control problem, which is then solved efficiently on-line using the pseudospectral…”
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    Journal Article
  20. 20

    FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity by Wang, Mingjie, Guo, Jianxiong, Jia, Weijia

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 25.05.2023
    Published in arXiv.org (25.05.2023)
    “…Federated Learning (FL) is a decentralized learning method used to train machine learning algorithms…”
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    Paper