Search Results - (( job application _ algorithm ) OR ( wave optimization strategy algorithm ))

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  1. 1
    Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems

    Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems by Peddakapu, K., Mohd Rusllim, Mohamed, Srinivasarao, P., Licari, J.

    Published 2024
    “…Furthermore, an Archimedes optimization algorithm (AOA) is used to optimize the 2DOF-TIDN controller. …”
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  2. 2
    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks

    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

    Published 2025
    thesis::doctoral thesis
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  3. 3
    Optimization-based method for estimating the transmission rate of COVID-19 during the lockdown in Malaysia

    Optimization-based method for estimating the transmission rate of COVID-19 during the lockdown in Malaysia by Alsayed, Abdallah, Aqel, Mohammad O. A., Kamil, Raja, Sadir, Hayder, Abuzaiter, Alaa, Alezabi, Kamal Ali, Sari, Hasan

    Published 2022
    “…In this work, the optimization-based method is implemented to investigate the effectiveness of lockdown strategies undertaken to contain the COVID-19 during the first two waves in Malaysia. …”
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  4. 4
    OPTIMIZATION-BASED METHOD FOR ESTIMATING THE TRANSMISSION RATE OF COVID-19 DURING THE LOCKDOWN IN MALAYSIA

    OPTIMIZATION-BASED METHOD FOR ESTIMATING THE TRANSMISSION RATE OF COVID-19 DURING THE LOCKDOWN IN MALAYSIA by Alsayed A., Aqel M.O.A., Kamil R., Sadir H., Abuzaiter A., Alezabi K.A., Sari H.

    Published 2023
    “…In this work, the optimization-based method is implemented to investigate the effectiveness of lockdown strategies undertaken to contain the COVID-19 during the first two waves in Malaysia. …”
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  5. 5
    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi

    Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi by Hayder Faeq Rasool , Alhashimi

    Published 2025
    “…The SARSA algorithm determines optimal power allocation that enhances EE by investigating different power levels. …”
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  6. 6
    Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes

    Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes by Reem Mustafa , Mah’d Al Debes

    Published 2025
    “…Furthermore, the research explores advanced applications such as integrating NOMA with Millimeter-Wave technology and optimizing user association strategies, enhancing system capacity and overall performance. …”
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  7. 7
    Computational electromagnetic modeling and optimization techniques to enhance the accuracy and efficiency of a 2.45 GHz pyramidal horn antenna by Newton-Raphson method for IEMI testing

    Computational electromagnetic modeling and optimization techniques to enhance the accuracy and efficiency of a 2.45 GHz pyramidal horn antenna by Newton-Raphson method for IEMI tes... by Hamamah, Fuad, Ahmad, Wfh F.H.W., Gomes, C., Mohd Isa, M., Homam, M. J.

    Published 2026
    “…Using CST Microwave Studio and optimization techniques, the return losses for the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Interior Point Quadratic Newton (IPQN), and Covariance Matrix Adaptation Evolution Strategy (CMA-ES) were-29.61dB,-30.45dB,-26.2dB, and-30.24dB, respectively. …”
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  8. 8
    Independent And Dependent Job Scheduling Algorithms Based On Weighting Model For Grid Environment

    Independent And Dependent Job Scheduling Algorithms Based On Weighting Model For Grid Environment by M. Al-Najjar, Hazem

    Published 2018
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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
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  10. 10
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
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  11. 11
    Fuzzy C-Mean And Genetic Algorithms Based Scheduling For Independent Jobs In Computational Grid

    Fuzzy C-Mean And Genetic Algorithms Based Scheduling For Independent Jobs In Computational Grid by Lorpunmanee, Siriluck, Md Sap, Mohd Noor, Abdullah, Abdul Hanan

    Published 2006
    “…Our model presents the method of the jobs classifications based mainly on Fuzzy C-Mean algorithm and mapping the jobs to the appropriate resources based mainly on Genetic algorithm. …”
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  12. 12
    Job online scheduling within dynamic grid environment

    Job online scheduling within dynamic grid environment by Lorpunmanee, Siriluck, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan

    Published 2008
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  13. 13
    Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim

    Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim by Lorpunmanee, Siriluck, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan

    Published 2008
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  14. 14
    Optimized controller for renewable energy sources integration into microgrid: Functions, constraints and suggestions

    Optimized controller for renewable energy sources integration into microgrid: Functions, constraints and suggestions by Hannan M.A., Tan S.Y., Al-Shetwi A.Q., Jern K.P., Begum R.A.

    Published 2023
    Review
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  15. 15
    Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid

    Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid by Ku-Mahamud, Ku Ruhana, Ramli, Razamin, Yusof, Yuhanis, Mohamed Din, Aniza, Mahmuddin, Massudi

    Published 2012
    “…Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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  16. 16
    A priority based job scheduling algorithm in cloud computing

    A priority based job scheduling algorithm in cloud computing by Shamsollah, Ghanbari, Othman, Mohamed

    Published 2012
    “…Job scheduling algorithms is one of the most challenging theoretical issues in the cloud computing area. …”
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  17. 17
    Ant colony algorithm for job scheduling in grid computing

    Ant colony algorithm for job scheduling in grid computing by Ku-Mahamud, Ku Ruhana, Abdul Nasir, Husna Jamal

    Published 2010
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  18. 18
    Benchmark simulator with dynamic environment for job scheduling in grid computing

    Benchmark simulator with dynamic environment for job scheduling in grid computing by Ku-Mahamud, Ku Ruhana

    Published 2014
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  19. 19
    Scheduling jobs in computational grid using hybrid ACS and GA approach

    Scheduling jobs in computational grid using hybrid ACS and GA approach by Alobaedy, Mustafa Muwafak, Ku-Mahamud, Ku Ruhana

    Published 2014
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  20. 20
    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan

    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

    Published 2024
    “…Accessible through a desktop application, the Job Position Prediction System prioritizes userfriendliness for job seekers. …”
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