Výsledky vyhledávání - "parallel branch‐and‐prune algorithms"

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  1. 1

    An autonomic parallel strategy for exhaustive search tree algorithms on shared or heterogeneous systems Autor Passos, Fernanda G. O., Rebello, Vinod E. F.

    ISSN: 1532-0626, 1532-0634
    Vydáno: Hoboken Wiley Subscription Services, Inc 10.03.2024
    Vydáno v Concurrency and computation (10.03.2024)
    “…Summary Backtracking branch‐and‐prune (BP) algorithms and their variants are exhaustive search tree techniques widely employed to solve optimization problems…”
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    Journal Article
  2. 2

    Scheduling interrelated activities in complex projects under high-order rework: A DSM-based approach Autor Wen, Muchen, Lin, Jun, Qian, Yanjun, Huang, Weihao

    ISSN: 0305-0548, 1873-765X, 0305-0548
    Vydáno: New York Elsevier Ltd 01.06.2021
    Vydáno v Computers & operations research (01.06.2021)
    “…•A parallel branch-and-prune algorithm, which is able to obtain optimal solutions for medium instances…”
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    Journal Article
  3. 3

    A double-decomposition based parallel exact algorithm for the feedback length minimization problem Autor Shang, Zhen, Hao, Jin-Kao, Ma, Fei

    ISSN: 2376-5992, 2376-5992
    Vydáno: San Diego, USA PeerJ. Ltd 15.09.2023
    Vydáno v PeerJ. Computer science (15.09.2023)
    “… This study develops a double-decomposition based parallel branch-and-prune algorithm, to determine the optimal activity sequence that minimizes the total feedback length (FLMP…”
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    Journal Article
  4. 4

    Exact algorithms for the feedback length minimisation problem Autor Shang, Zhen, Zhao, Songzheng, Qian, Yanjun, Lin, Jun

    ISSN: 0020-7543, 1366-588X
    Vydáno: London Taylor & Francis 17.01.2019
    “… First, we present two new properties of the problem. Second, based on the properties, we develop an efficient Parallel Branch-and-Prune algorithm (PBP…”
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  5. 5

    A double-decomposition based parallel exact algorithm for the feedback length minimization problem Autor Shang, Zhen, Jin-Kao, Hao, Ma, Fei

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 13.09.2023
    Vydáno v arXiv.org (13.09.2023)
    “… This study develops a double-decomposition based parallel branch-and-prune algorithm, to determine the optimal activity sequence that minimizes the total feedback length (FLMP…”
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