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  1. 1
    Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems

    Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems by Tan, Joe Yee

    Published 2022
    “…Predictive-reactive strategy was investigated, in which Genetic Algorithm (GA) and dispatching rules were used for predictive scheduling and reactivity controls. …”
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  2. 2
    Predictive-reactive job shop scheduling for flexible production systems with the combination of optimization and simulation based algorithm

    Predictive-reactive job shop scheduling for flexible production systems with the combination of optimization and simulation based algorithm by Abdul Rahman, Azrul Azwan, Joe Yee, Tan, A Rahman, Muhamad Arfauz, Salleh, Mohd Rizal, Bilge, Pinar

    Published 2020
    “…The predictive part determines the feasible schedule to be used for a flow shop which is generated using a combination of rule-based simulation and optimization: first, using the optimization algorithm to compute a rough plan, followed by using a rule based simulation system to locally fine tune the plan to obtain the final schedule. …”
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  3. 3
    An optimization approach for predictive-reactive job shop scheduling of reconfigurable manufacturing systems

    An optimization approach for predictive-reactive job shop scheduling of reconfigurable manufacturing systems by Abdul Rahman, Azrul Azwan, Joshua, Adeboye Oluwamayowa, Joe Yee, Tan, Salleh, Mohd Rizal, Rahman, M.A.A

    Published 2022
    “…The predictive-reactive strategy was investigated, in which Genetic Algorithm (GA) and dispatching rules were used for predictive scheduling and reactivity controls. …”
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  4. 4
    Optimalisation of a job scheduler in the grid environment by using fuzzy C-mean

    Optimalisation of a job scheduler in the grid environment by using fuzzy C-mean by Lorpunmanee, Siriluck, Abdullah, Abdul Razak

    Published 2007
    “…This paper presents the need for such a prediction and optimization engine that discusses the approach for history-based prediction and optimization. …”
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  5. 5
    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia

    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

    Published 2015
    “…The proposed algorithms provide an effective scheduling technique for smart grid applications. …”
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  6. 6
    Dynamic traffic scheduling and resource reservation algorithms for output-buffered switches

    Dynamic traffic scheduling and resource reservation algorithms for output-buffered switches by Subramaniam, Shamala

    Published 2002
    “…The first algorithm is a priority scheduling algorithm (i.e. known as the M-Tier algorithm) incorporated with a multitier dynamic resource reservation algorithm. …”
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  7. 7
    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm

    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm by Abd Rahman, Mohd Shahrizan, Jamaludin, Nor Azliana Akmal, Zainol, Zuraini, Tengku Sembok, Tengku Mohd

    Published 2025
    “…The study employs a hybrid predictive model that combines Big Data technologies, Extract Load Transfer (ELT) processes, rule-based algorithms (RBA), machine learning (ML), and Power BI visualizations. …”
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  8. 8
    Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry

    Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry by Chaudhry, Muhammad Tayyab

    Published 2015
    “…Thermal profiles are used for outlet temperature prediction modeling of the servers. These models include the worst case prediction model (WCPM), optimistic prediction model (OPM) and enhanced optimistic prediction model (EOPM). …”
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  9. 9
    A static jobs scheduling for independent jobs in Grid Environment by using Fuzzy C-Mean and Genetic algorithms

    A static jobs scheduling for independent jobs in Grid Environment by using Fuzzy C-Mean and Genetic algorithms by Lorpunmanee, Siriluck, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan, Srinoy, Surat

    Published 2006
    “…We present a static job scheduling algorithm by using Fuzzy C-Mean and Genetic algorithms. …”
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  10. 10
    ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation

    ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation by Hannan M.A., Abdolrasol M.G., Mohamed R., Al-Shetwi A., Ker P., Begum R., Muttaqi K.

    Published 2023
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  11. 11
    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques

    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques by Hammid, Ali Thaeer

    Published 2018
    “…After that, the stationary simulation prediction model is obtained. Thirdly, a novel normalized firefly fuzzy control method (NFANN) is designed for stability control of a hydro-turbine system. …”
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  12. 12
    A predictive approach to improve a fault tolerance confidence level on grid resources scheduling

    A predictive approach to improve a fault tolerance confidence level on grid resources scheduling by Bouyer, Asgarali, Md. Sap, Mohd. Noor

    Published 2008
    “…Therefore, finding a stable and fault tolerance resource require designing a predictive method that doing this work. …”
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  13. 13
    Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem

    Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

    Published 2017
    “…In addition, NSGA-II algorithm was able to find the optimal solutions. We then proposed a multi-objective scheduling algorithm framework that considers resource allocation and task scheduling in a heterogonous cloud environment. …”
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  14. 14
    Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris

    Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris by Abubakar Auwal , Idris

    Published 2017
    “…This research proposed an optimal downlink scheduling algorithm called Video Real-Time Scheduling Algorithm (VRTSA) to support real-time traffic of video in LTE network. …”
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  15. 15
    Cache replacement algorithm using hierarchical allocation scheduling

    Cache replacement algorithm using hierarchical allocation scheduling by Mohd Sharif, Mohammad Faizal

    Published 2014
    “…Predicting a relative important instruction in cache replacement policy can improve the cache performance. …”
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  16. 16
    The development of integrated planning and scheduling framework for dynamic and reactive environment of complex manufacturing problem

    The development of integrated planning and scheduling framework for dynamic and reactive environment of complex manufacturing problem by Zakaria, Zalmiyah, Deris, Safaai, Mat Yatim, Safie, Othman, Muhamad Razib

    Published 2008
    “…Firstly, in Chapter 1, we give an overview of the real problem occurred in the field of dynamic scheduling. A hybrid genetic algorithm (HGA) for solving the dynamic job shop problem is proposed to solve the dynamic scheduling. …”
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  17. 17
    Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew

    Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew by Kong Weng, Lee

    Published 2024
    “…This research, rooted in a case study of a local airline at Kuala Lumpur International Airport (KLIA), a major regional hub, endeavours to formulate an algorithm addressing workforce shift scheduling and rostering complexities. …”
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  18. 18
    Towards implementing reactive scheduling for job shop problem

    Towards implementing reactive scheduling for job shop problem by Zakaria, Zalmiyah, Deris, Safaai

    Published 2006
    “…This paper gives an overview of the real problem occured in the filed of dynamic scheduling. Then we propose a hybrid genetic algorithm for solving the dynamic job shop problem.…”
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  19. 19
    Dynamic scheduling in a multi-product manufacturing system

    Dynamic scheduling in a multi-product manufacturing system by Hassan, Adnan, Mohd. Shaharoun, Awaluddin, Oktaviandri, Muchamad

    Published 2005
    “…A case study, 6 by 6 job shop scheduling problem was adapted with uncertainty elements added to the data sets. …”
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  20. 20
    Scheduling of the battery for peak shaving using Model Predictive Control (MPC)

    Scheduling of the battery for peak shaving using Model Predictive Control (MPC) by Zainal Abidin, Siti Aisyah, Yusoff, Siti Hajar, Mansor, Hasmah, Mohd Sapihie, Siti Nadiah, Muhamad Fahmi, Muhammad Aqil Muqri

    Published 2023
    “…Therefore, the purpose of this research is to find an optimal solution to shave the peak load to reduce the electricity bills of the consumers. There are a lot of controllers that can be used to control the scheduling of the battery, and this research will focus on battery scheduling by using Model Predictive Controller (MPC). …”
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