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  1. 1

    Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

    Published 2022
    “…In this thesis study, hybrid Genetic Algorithm and Bat Algorithm proposed to solve the task scheduling problem. …”
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    Academic Exercise
  2. 2

    An efficient algorithm for independent tasks scheduling in heterogeneous computing systems by Al-Qadhi, Abdulrahman Khaldoon Mahmood

    Published 2016
    “…In this thesis, a proposed new heuristic algorithm named Two Stages TasksTransfer (TSTT) algorithm introduced as an enhancement of state of TPB scheduling algorithm. …”
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    Thesis
  3. 3

    Enhanced utility accrual scheduling algorithms for adaptive real time system. by Othman, Muhammad Fauzan, Ahmad, Idawaty

    Published 2009
    “…Problem statement: This study proposed two utility accrual real time scheduling algorithms named as Preemptive Utility Accrual Scheduling (PUAS) and Non-preemptive Utility Accrual Scheduling (NUAS) algorithms. …”
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    Article
  4. 4

    Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA) by Mohammad Ozaniezie Onasis

    Published 2022
    “…This research proposes task scheduling in cloud computing using a hybrid genetic algorithm and naked mole rat algorithm to solve the task scheduling problem. …”
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    Academic Exercise
  5. 5

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

    Published 2010
    “…Approach: The proposed BRPUAS algorithm enabled the re-execution of the affected tasks rather than abortion to reduce the number of aborted task in the existing algorithm known as Abortion Recovery Preemptive Utility Accrual Scheduling (ARPUAS) algorithm that employed the AR mechanism. …”
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    Article
  6. 6

    Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES) by Kamal Khairi Supaprhman

    Published 2022
    “…This Study proposes task scheduling in cloud computing using a hybrid genetic algorithm, and bald eagle search proposed to solve the task scheduling problem. …”
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    Academic Exercise
  7. 7

    An enhanced discrete symbiotic organism search algorithm for optimal task scheduling in the cloud by Sa’ad, Suleiman, Muhammed, Abdullah, Abdullahi, Mohammed, Abdullah, Azizol, Ayob, Fahrul Hakim

    Published 2021
    “…The task scheduling problem is NP-complete; as such, obtaining a precise solution is difficult, particularly for large-scale tasks. …”
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    Article
  8. 8

    Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

    Published 2016
    “…Many algorithms have been implemented to solve the grid scheduling problem. …”
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    Thesis
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  10. 10

    Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment by Abdullah, Monir, Othman, Mohamed

    Published 2014
    “…One of the fundamental issues in this environment is related to task scheduling. Cloud task scheduling is an NP-hard optimization problem and many meta-heuristic algorithms have been proposed to solve it. …”
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    Article
  11. 11

    Two Stages Transfer Algorithm (TSTT) for independent tasks scheduling in heterogeneous computing systems by Al-Qadhi, Abdulrahman K., Ariffin, Ahmad Alauddin, Latip, Rohaya, Abdul Hamid, Nor Asila Wati, Al-Zubaidi, Ammar S.

    Published 2018
    “…In this paper, a proposed new heuristic algorithm named Two Stages Tasks Transfer (TSTT) algorithm to enhance Tenacious Penalty Based scheduling (TPB) algorithm. …”
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    Article
  12. 12

    A survey : particle swarm optimization-based algorithms for grid computing scheduling systems. by Ambursa, Faruku Umar, Latip, Rohaya

    Published 2013
    “…Bio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). …”
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    Article
  13. 13

    Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment by Sa'ad, Suleiman

    Published 2022
    “…Task scheduling in the cloud environment is an NP-Complete problem, because of its dynamism and huge search space given by problem instances that are large scale. …”
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    Thesis
  14. 14

    Chess tournament management system (scheduling module) by Lim, Jiin Kang

    Published 2005
    “…Scheduling problems has been a major problem in all fields. …”
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    Undergraduates Project Papers
  15. 15

    Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony by Mohd Izuddin Sipluk

    Published 2022
    “…Existing task-scheduling algorithms are primarily concerned with task resource requirements, CPU memory, execution time, and cost. …”
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    Academic Exercise
  16. 16

    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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    Thesis
  17. 17

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

    Published 2017
    “…The proposed algorithm is evaluated using tasks scheduling in the scheduling load simulator and validated using statistical modeling. …”
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    Thesis
  18. 18

    Facial mask detection in low light environment by Kennedy Gregory Mojuntin

    Published 2022
    “…This research proposes task scheduling in cloud computing using a hybrid genetic algorithm and naked mole rat algorithm to solve the task scheduling problem. …”
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    Academic Exercise
  19. 19

    Maintenance staff scheduling system using heuristic-greedy algorithm / Nurliyana Sabli by Sabli, Nurliyana

    Published 2010
    “…The scheduling part will be developed using heuristic – greedy algorithm. …”
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    Thesis
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