Search Results - parallel satisfaction study algorithm

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  1. 1
    ROA-CONS: raccoon optimization job scheduling

    ROA-CONS: raccoon optimization job scheduling by Koohi, Sina Zangbari, Abdul Hamid, Nor Asilah Wati, Othman, Mohamed, Ibragimov, Gafurjan

    Published 2021
    “…An optimised schedule results in greater efficiency of the parallel machine. In addition, processes and network heterogeneity is another difficulty for the scheduling algorithm. …”
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  2. 2
    Local search approaches for patient scheduling problem in parallel operating theatre

    Local search approaches for patient scheduling problem in parallel operating theatre by Alimin, Nur Neesha

    Published 2020
    “…The objective of the study is to propose different types of local search which are local search(LS), improved local search(ILS) and mixed local search (MLS) for solving patient scheduling problem in parallel OT. …”
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    Thesis
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  3. 3
    Development of appoinment scheduling agent using distributed constraint satisfaction (DisCS)

    Development of appoinment scheduling agent using distributed constraint satisfaction (DisCS) by Mohd. Azmi, Nurulhuda Firdaus, Eri, Zeti Darleena, Ibrahim, Nuzulha Khilwani, Ahmad Rusli, Rozana Diana

    Published 2008
    “…In the other hand, to improve a better operation system level in organization. In this study, several algorithms were produced for different types of appointment policies and constraints. …”
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    Monograph
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  4. 4
    Efficient Numerical Modelling of Extreme Wave

    Efficient Numerical Modelling of Extreme Wave by Tan , Vi Nie

    Published 2020
    “…Future works will be carried out to study the parallelization of the algorithm to allow for larger problem size to be treated.…”
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    Final Year Project
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  5. 5
    Efficient Numerical Modelling of Extreme Waves

    Efficient Numerical Modelling of Extreme Waves by Tan, Vi Nie

    Published 2020
    “…Future works will be carried out to study the parallelization of the algorithm to allow for larger problem size to be treated.…”
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    Final Year Project
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