Suchergebnisse - cloud theory-based iterated greedy algorithm

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  1. 1

    Minimising makespan in distributed mixed no-idle flowshops von Cheng, Chen-Yang, Ying, Kuo-Ching, Chen, Hsia-Hsiang, Lu, Hsiao-Shan

    ISSN: 0020-7543, 1366-588X
    Veröffentlicht: London Taylor & Francis 02.01.2019
    Veröffentlicht in International journal of production research (02.01.2019)
    “… A novel cloud theory-based iterated greedy (CTBIG) algorithm was proposed for solving the problem …”
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  2. 2

    Minimizing the Sum of Makespan and Total Weighted Tardiness in a No-Wait Flowshop von Lin, Shih-Wei, Lu, Chung-Cheng, Ying, Kuo-Ching

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2018
    Veröffentlicht in IEEE access (2018)
    “… This paper presents a cloud theory-based iterated greedy (CTIG) algorithm for solving the no-wait flowshop scheduling problem (NWFSP …”
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  3. 3

    A branch-and-bound algorithm and four metaheuristics for minimizing total completion time for a two-stage assembly flow-shop scheduling problem with learning consideration von Wu, Chin-Chia, Bai, Danyu, Azzouz, Ameni, Chung, I.-Hong, Cheng, Shuenn-Ren, Jhwueng, Dwueng-Chwuan, Lin, Win-Chin, Said, Lamjed Ben

    ISSN: 0305-215X, 1029-0273
    Veröffentlicht: Abingdon Taylor & Francis 02.06.2020
    Veröffentlicht in Engineering optimization (02.06.2020)
    “… Four metaheuristics are proposed to approximate the solutions: genetic algorithms, cloud theory-based simulated annealing, artificial bee colonies and iterated greedy algorithms …”
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  4. 4

    Minimizing the Makespan for a Two-Stage Three-Machine Assembly Flow Shop Problem with the Sum-of-Processing-Time Based Learning Effect von Lin, Win-Chin

    ISSN: 1026-0226, 1607-887X
    Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
    Veröffentlicht in Discrete dynamics in nature and society (01.01.2018)
    “… Two-stage production process and its applications appear in many production environments. Job processing times are usually assumed to be constant throughout …”
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