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  1. 1
    Improving utility and recovery algorithms for adaptive real time system in multiprocessor environment

    Improving utility and recovery algorithms for adaptive real time system in multiprocessor environment by Ahmad, Idawaty

    Published 2012
    “…These algorithms solved the abortion problem in the existing General Utility Scheduling (GUS). …”
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  2. 2
    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom

    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

    Published 2015
    “…However, in many cases, implementing the suitable hybrid algorithms for a given optimization problem is a considerably difficult, which in most cases, is time consuming. …”
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  3. 3
    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
    “…One of the prominent intelligent algorithms is ant colony system (ACS) which is implemented widely to solve various types of scheduling problems. …”
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  4. 4
    A backward recovery mechanism in preemptive utility accrual real time scheduling algorithm

    A backward recovery mechanism in preemptive utility accrual real time scheduling algorithm by Ahmad, Idawaty, Othman, Muhammad Fauzan

    Published 2010
    “…Problem statement: This study proposed a robust algorithm named as Backward Recovery Preemptive Utility Accrual Scheduling (BRPUAS) algorithm that implements the Backward Recovery(BR) mechanism as a fault recovery solution under the existing utility accrual scheduling environment. …”
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  5. 5
    A genetic algorithm for solving single level lotsizing problems

    A genetic algorithm for solving single level lotsizing problems by Zenon, Nasaruddin, Ahmad, Ab. Rahman, Ali, Rosmah

    Published 2003
    “…In this paper a genetic algorithm for solving single level lot-sizing problems is proposed and the results of applying the algorithm toexample problems are discussed. …”
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  6. 6
    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom

    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

    Published 2015
    “…However, in many cases, implementing the suitable hybrid algorithms for a given optimization problem is a considerably difficult, which in most cases, is time consuming. …”
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  7. 7
    Strategic oscillation for exploitation and exploration of ACS algorithm for job scheduling in static grid computing

    Strategic oscillation for exploitation and exploration of ACS algorithm for job scheduling in static grid computing by Alobaedy, Mustafa Muwafak, Ku-Mahamud, Ku Ruhana

    Published 2015
    “…These mechanisms are implemented explicitly in ant colony system algorithm.The rate between the exploitation and exploration mechanisms is controlled using a parameter set by the users of the algorithm. …”
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  8. 8
    Sub-route reversal repair mechanism and differential evolution for urban transit network design problem

    Sub-route reversal repair mechanism and differential evolution for urban transit network design problem by Tarajo, Buba Ahmed

    Published 2017
    “…Hence, we focus on urban transit routing problem and develop a framework for tackling the problem. …”
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  9. 9
    PID control system implementation in embedded system for DC motor speed control

    PID control system implementation in embedded system for DC motor speed control by Ariff, Che Mohd Noor

    Published 2008
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  10. 10
    An improved bees algorithm local search mechanism for numerical dataset

    An improved bees algorithm local search mechanism for numerical dataset by Al-Dawoodi, Aras Ghazi Mohammed

    Published 2015
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  11. 11
    Implementation of Multigrid Method for Solving Coupled Problem

    Implementation of Multigrid Method for Solving Coupled Problem by Lim, Kean Siang

    Published 2021
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  12. 12
    Multi-State Particle Swarm Optimization for Discrete Combinatorial Optimization Problem

    Multi-State Particle Swarm Optimization for Discrete Combinatorial Optimization Problem by Ismail, Ibrahim, Hamzah, Ahmad, Zuwairie, Ibrahim, Mohd Falfazli, Mat Jusof, Zulkifli, Md. Yusof, Sophan Wahyudi, Nawawi, Kamal, Khalil, Muhammad Arif, Abdul Rahim

    Published 2014
    “…The binary-based algorithms including the binary particle swarm optimization (BPSO) algorithm are proposed to solve discrete optimization problems. …”
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  13. 13
    Solving Examination Timetabling Problem using Partial Exam Assignment with Great Deluge Algorithm

    Solving Examination Timetabling Problem using Partial Exam Assignment with Great Deluge Algorithm by Ashis Kumar, Mandal, M. N. M., Kahar

    Published 2015
    “…Constructing a quality solution for the examination timetable problem is a difficult task. This paper presents a partial exam assignment approach with great deluge algorithm as the improvement mechanism in order to generate good quality timetable. …”
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  14. 14
    A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA)

    A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA) by Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

    Published 2024
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  15. 15
    A DC motor controller using PID algorithm implementation on PIC

    A DC motor controller using PID algorithm implementation on PIC by Wan Robaah, W Ahmad

    Published 2008
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  16. 16
    Efficiency and fairness of new-additive increase multiplicative decrease congestion avoidance and control algorithm

    Efficiency and fairness of new-additive increase multiplicative decrease congestion avoidance and control algorithm by Jasem, Hayder Natiq, Ahmad Zulkarnain, Zuriati, Othman, Mohamed, Subramaniam, Shamala

    Published 2011
    “…The NCTUns simulator is used to obtain the results after implementing the modifications to the mechanism.…”
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  17. 17
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  18. 18
    OFEM: An optimum finite element algorithm for heat transfer problem in twodimensional insulated-tip rectangular fin

    OFEM: An optimum finite element algorithm for heat transfer problem in twodimensional insulated-tip rectangular fin by Fakir, Md Moslemuddin, S., Basri, I. B. M., Sahat, Sharma, K. V., Sabira, Khatun

    Published 2011
    “…In this paper, an algorithm is proposed to generate non-uniform sub-elements and then implemented on FEM to obtain optimum FEM (OFEM) solution to reduce the computational complexity. …”
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  19. 19
    Improving Class Timetabling using Genetic Algorithm

    Improving Class Timetabling using Genetic Algorithm by Qutishat, Ahmed Mohammed Ali

    Published 2006
    “…Hence, the major aim of this research is to investigate the internal mechanism of genetic algorithm in solving and improving class timetabling problem. …”
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  20. 20
    Experimental evaluation of bottleneck link utilization with new-additive increase multiplicative decrease congestion avoidance and control algorithm.

    Experimental evaluation of bottleneck link utilization with new-additive increase multiplicative decrease congestion avoidance and control algorithm. by Jasem , Hayder Natiq, Ahmad Zulkarnain, Zuriati, Othman, Mohamed, Subramaniam, Shamala

    Published 2009
    “…Approach: In this research we continued to study the performances of the New-Additive Increase Multiplicative Decrease (AIMD) algorithm as one of the core protocols for TCP congestion avoidance and control mechanism, we want now to evaluate the effect of using the AIMD algorithm after developing it to find a new approach, as we called it the New-AIMD algorithm to measure the bottleneck link utilization and use the NCTUns simulator to get the results after make the modification of the mechanism. …”
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