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  1. 1
    Two objectives big data task scheduling using swarm intelligence in cloud computing

    Two objectives big data task scheduling using swarm intelligence in cloud computing by Diallo, Laouratou, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke, Islam, Shayla, Zarir, Abdullah Ahmad

    Published 2016
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  2. 2
    Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing

    Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing by Alobaedy, Mustafa Muwafak Theab

    Published 2015
    “…The main part of RMS is the scheduler algorithm which has the responsibility to map submitted tasks to available resources. …”
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  3. 3
    Efficiency and accuracy of scheduling algorithms for final year project evaluation management system

    Efficiency and accuracy of scheduling algorithms for final year project evaluation management system by Loo, Chang Herng, Muhammad Zulfahmi Toh, Abdullah, Ahmad Fakhri, Ab. Nasir, Nur Shazwani, Kamaruddin, Nur Hafieza, Ismail

    Published 2023
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  4. 4
    An improved fair nurse scheduling optimisation using particle swarm intelligent technique

    An improved fair nurse scheduling optimisation using particle swarm intelligent technique by Ramli, Mohamad Raziff

    Published 2015
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  5. 5
    Evaluate the performance of university timetabling problem with various artificial intelligence techniques

    Evaluate the performance of university timetabling problem with various artificial intelligence techniques by Hooi, Charmaine Wai Yee

    Published 2025
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    Final Year Project / Dissertation / Thesis
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  6. 6
    Application of an evolutionary algorithm-based ensemble model to job-shop scheduling

    Application of an evolutionary algorithm-based ensemble model to job-shop scheduling by Tan, Choo Jun, Neoh, Siew Chin, Lim, Chee Peng, Hanoun, Samer, Wong, Wai Peng, Loo, Chu Kiong, Zhang, Li, Nahavandi, Saeid

    Published 2019
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  7. 7
    Task scheduling in cloud computing using Harris-Hawk Optimization

    Task scheduling in cloud computing using Harris-Hawk Optimization by Iza A. A. Bahar, Azali Saudi, Abdul Kadir, Syed Nasirin Syed Zainol Abidin, Tamrin Amboala, Esmadi Abu Bin Abu, Abdullah B. Mohd. Tahir, Suddin Lada

    Published 2024
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  8. 8
    Managing risk in production scheduling under uncertain disruption

    Managing risk in production scheduling under uncertain disruption by Sarker, Ruhul, Essam, Daryl, Kamrul Hasan, S.M., Karim, A.N. Mustafizul

    Published 2015
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  9. 9
    A novel explanatory hybrid artificial bee colony algorithm for numerical function optimization

    A novel explanatory hybrid artificial bee colony algorithm for numerical function optimization by Jarrah, Muath Ibrahim, Mohamad Jaya, Abdul Syukor, Mohd Abid, Mohd Asyadi Azam, Alqattan, Zakaria N., Azam, Mohd Asyadi, Abdullah, Rosni, Jarrah, Hazim, Abu‑Khadrah, Ahmed Ismail

    Published 2020
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  10. 10
    Development of optimized maintenance scheduling model for coal-fired power plant boiler

    Development of optimized maintenance scheduling model for coal-fired power plant boiler by Noor Fazreen Binti Ahmad Fuzi, Ms.

    Published 2023
    “…Computing intelligence is a soft-computing subset of artificial intelligence referring to the potential of a computer to gain knowledge from an experimental observations or specific task. …”
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  11. 11
    Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics

    Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics by Mohammad Jarrah, Mu'ath Ibrahim

    Published 2018
    “…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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  12. 12
    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm

    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. The framework was subsequently verified and validated through expert reviews and experimental testing. …”
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  13. 13
    Optimize single line to ground fault detection in distribution grid power system using artificial bee colony

    Optimize single line to ground fault detection in distribution grid power system using artificial bee colony by Feryal Ibrahim Jabbar, Feryal Ibrahim Jabbar, Dur Muhammad Soomro, Dur Muhammad Soomro, Mohd Noor Abdullah, Mohd Noor Abdullah, Nur Hanis Mohammad Radzi, Nur Hanis Mohammad Radzi, Mazhar Hussain Baloch, Mazhar Hussain Baloch, Asif Ahmed Rahmoon, Asif Ahmed Rahmoon, Hassan Falah Fakhruldeen, Hassan Falah Fakhruldeen

    Published 2023
    “…ABC intelligently optimizes many mathematical problems. ABC with network neural artificial intelligence (AI) improves algorithm performance (artificial bee colony network neural (ABCNN)). …”
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  14. 14
    Intelligent dashboard with speech enhancement

    Intelligent dashboard with speech enhancement by Abdul Rahman, Abdul Wahab, Tan, Eng Chong, Abut, Huseyin

    Published 1997
    “…Numerous asynchronous scheduling tasks necessitate the architecture to be re-configurable. …”
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  15. 15
    Processing time estimation in precision machining industry using AI / Lim Say Li

    Processing time estimation in precision machining industry using AI / Lim Say Li by Lim, Say Li

    Published 2017
    “…Neural Network (NN) model is chosen as the artificial intelligence approach used in this research. Levenberg-Marquardt algorithm is used as the training algorithm. …”
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  16. 16
    A New Grid Resource Discovery Framework

    A New Grid Resource Discovery Framework by Mahamat Issa, Hassan, Azween , Abdullah

    “…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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  17. 17
    Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed

    Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed by Mudasir , Ahmed

    Published 2019
    “…Simulation results show that, at the high-level inverter, the proposed algorithm can easily find the feasible solutions, however, GA, PSO, bee algorithm (BA), and differential evolution (DE) face the difficulty due to less exploration capability. …”
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  18. 18
    Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin

    Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin by Nordin, Muhammad Hilmi

    Published 2014
    “…In the operation and planning of a power system, Economic Load Dispatch is a crucial task to be performed which decided the generation schedule of generating units with the objective of minimizing the total fuel cost while maintaining the operational constraints. …”
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  19. 19
    A New Grid Resource Discovery Framework

    A New Grid Resource Discovery Framework by Hassan, Mahamat I., Azween, Abdullah

    Published 2011
    “…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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  20. 20
    A New Grid Resource Discovery Framework

    A New Grid Resource Discovery Framework by Mahamat Issa, Hassan, Azween, Abdullah

    Published 2009
    “…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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