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  1. 1
    Development of dynamic programming algorithm for maintenance scheduling problem

    Development of dynamic programming algorithm for maintenance scheduling problem by Zafira Adlia, Mohd Fauzi

    Published 2020
    “…The objectives of this research are to develop a dynamic programming algorithm for the maintenance scheduling problem that can deal with the uncertainty and to determine the optimum maintenance schedule that will change according to the uncertainty that happened. …”
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  2. 2
    Hybrid scheduling and dual queue scheduling

    Hybrid scheduling and dual queue scheduling by Mahmood, Ahmad Kamil

    Published 2009
    “…Our research work involves the design and development of new CPU scheduling algorithms (the Hybrid Scheduling Algorithm and the Dual Queue Scheduling Algorithm) with a view to optimization. …”
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  3. 3
    Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai

    Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai by Fauzai, Norisyani

    Published 2021
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  4. 4
    Hybrid scheduling and dual queue scheduling

    Hybrid scheduling and dual queue scheduling by A., Oxley, S.N.M., Shah, A.K., Mahmood

    Published 2009
    “…Our research work involves the design and development of new CPU scheduling algorithms (the Hybrid Scheduling Algorithm and the Dual Queue Scheduling Algorithm) with a view to optimization. …”
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  5. 5
    Development of multi-objective optimization methods for integrated scheduling of handling equipment (AGVs, QCs, SP-AS/RS) in automated container terminals

    Development of multi-objective optimization methods for integrated scheduling of handling equipment (AGVs, QCs, SP-AS/RS) in automated container terminals by Homayouni, Seyed Mahdi

    Published 2012
    “…In this research, the integrated scheduling is described as a multi-objective problem. …”
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  6. 6
    Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements

    Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements by Ramadhan, Mazen Farid Ebrahim

    Published 2022
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  7. 7
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  8. 8
    Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull

    Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull by Abdull, Nurul Atikah

    Published 2021
    “…The objective of this study is to obtain the best and most systematic schedules for police officers while considering all the constraints using goal programming method. …”
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  9. 9
    Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches

    Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches by Mohd Pauzi, Nur Fazlinda

    Published 2015
    “…The main objective of this research is to develop a computer program with capability of manipulating the onlooker bee approaches in ABC Algorithm for solving flowshop scheduling problem. …”
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  10. 10
    A hybrid constraint-based programming approach to design a sports tournament scheduling

    A hybrid constraint-based programming approach to design a sports tournament scheduling by Soong, Chai Juan, Ramli, Razamin, Ibrahim, Haslinda

    Published 2011
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  11. 11
    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems

    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

    Published 2018
    “…A mixed integer programming models are formulated to represent the objectives. …”
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  12. 12
    Disjunctive programming-tabu search for job shop scheduling problem / Syarifah Zyurina Nordin ... [et al.]

    Disjunctive programming-tabu search for job shop scheduling problem / Syarifah Zyurina Nordin ... [et al.] by Nordin, Syarifah Zyurina, Wong, K.L., Hang, See Pheng, Saipan@Saipol, Hafizah Farhah, Abu Husain, Nurulakmar

    Published 2021
    “…A tabu search (TS) algorithm has been implemented to solve the job shop scheduling problem. …”
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  13. 13
    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
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  14. 14
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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  15. 15
    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment

    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment by Murad, Saydul Akbar, Zafril Rizal, M. Azmi, Muzahid, Abu Jafar Md, Bhuiyan, Md Khairul Bashar, Saib, Md, Rahimi, Nick, Prottasha, Nusrat Jahan, Bairagi, Anupam Kumar

    Published 2024
    “…To address this issue, the main objective of this research is to improve the existing Priority Rules (PR) cloud schedulers by developing a new dynamic scheduling algorithm by manipulating the gaps in the cloud job schedule. …”
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  16. 16
    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
    “…Scheduling for patients in parallel OT can help to schedule a large number of patients and emergency patients are considered in this study .Other than that, emergency patients are able to be scheduled and treated on the day as the modification of schedule is performed during the dynamic processof scheduling. …”
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  17. 17
    Solving single and bi-objective surgery scheduling problems using local search heuristic

    Solving single and bi-objective surgery scheduling problems using local search heuristic by Ab Rashid, Nur Shafiqah

    Published 2021
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  18. 18
    An improved design for cellular manufacturing system associating scheduling decisions

    An improved design for cellular manufacturing system associating scheduling decisions by Subhaa, R., Jawahar, N., Ponnambalam, S. G.

    Published 2019
    “…A non-linear integer mathematical programming model is formulated with the objective function of minimizing operating cost which is the sum of Machine Utility Cost (MUC) and inter-cell costs. …”
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  19. 19
    A Compromise Programming to Task Assignment Problem in Software Development Project

    A Compromise Programming to Task Assignment Problem in Software Development Project by Son, N.T., Jaafar, J., Aziz, I.A., Anh, B.N., Binh, H.D., Aftab, M.U.

    Published 2021
    “…To support the decision-maker to evaluate different decision strategies, we use compromise programming to transform multiobjective optimization (MOP) into a single-objective problem. …”
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  20. 20
    SECURE AND EFFICIENT METHOD FOR DYNAMIC ECONOMIC LOAD DISPATCH IN LARGE POWER SYSTEMS

    SECURE AND EFFICIENT METHOD FOR DYNAMIC ECONOMIC LOAD DISPATCH IN LARGE POWER SYSTEMS by Ab Ghani, Mohd Ruddin

    Published 2000
    “…The method uses LaGrangian Relaxation Method, Linear Programming and other techniques. The algorithm used appears to be efficient and secure to meet the required scheduling objectives of the system. …”
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