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  1. 1
    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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    Thesis
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  2. 2
    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
    “…Some intensive researches have been done in the area of job scheduling of cloud computing. In this paper we have proposed a new priority based job scheduling algorithm (PJSC) in cloud computing. …”
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    Conference or Workshop Item
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  3. 3
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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    Thesis
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  4. 4
    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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  5. 5
    AGENT MEETING SCHEDULER

    AGENT MEETING SCHEDULER by ZAINAL ABIDIN, NURAINI

    Published 2011
    “…A deep study of agent algorithm is conducted based on current available agent meeting scheduler from combination of software agent and algorithm data structure knowledge. …”
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    Final Year Project
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  6. 6
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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  7. 7
    Tasks Distribution In Driver Scheduling Using Dynamic Set Of Bandwidth In Harmony Search Algorithm With 2-Opt

    Tasks Distribution In Driver Scheduling Using Dynamic Set Of Bandwidth In Harmony Search Algorithm With 2-Opt by Shaffiei, Zatul Alwani

    Published 2021
    “…Based on previous research using one of metaheuristic algorithms known as harmony search (HS), the generated schedule was still not optimum and cannot be solved maximally as there were too much repetitions of task (shift and route) occurred among drivers. …”
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  8. 8
    Development of dynamic programming algorithm for maintenance scheduling problem

    Development of dynamic programming algorithm for maintenance scheduling problem by Zafira Adlia, Mohd Fauzi

    Published 2020
    “…Then, from the model developed, a formulation was created based on the problem of the maintenance schedule proposed. …”
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  9. 9
    Overview of metaheuristic: classification of population and trajectory

    Overview of metaheuristic: classification of population and trajectory by Zainul Rashid, Zarina

    Published 2010
    “…Some algorithms can be defined if the developer of the system has problem specific knowledge to the solution. …”
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    Monograph
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  10. 10
    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance

    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…This thesis presents three significant contributions to the field of knowledge. The first contribution entails a study on server consolidation, which employs the Locust Scheduling Meta-Heuristic Algorithm (LACE). …”
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  11. 11
    Metaheuristic approaches for urban transit scheduling problem: a review

    Metaheuristic approaches for urban transit scheduling problem: a review by Uvaraja, Vikneswary, Lee, Lai Soon

    Published 2017
    “…Urban Transit Network Design Problem (UTNDP) focuses on deriving useful set of routes, manageable timetabling for each transit route and transit scheduling based on available resources. UTNDP is commonly subdivided into Urban Transit Routing Problem (UTRP) and Urban Transit Scheduling Problem (UTSP), respectively. …”
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  12. 12
    Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman

    Unit Kesihatan UiTM (Perak) appointment scheduling system using Genetic Algorithm (GA) / Nur Amiera Abdul Rahman by Abdul Rahman, Nur Amiera

    Published 2014
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  13. 13
    Knowledge-based disk scheduling policy using fuzzy logic

    Knowledge-based disk scheduling policy using fuzzy logic by Abu Talip, Mohamad Sofian, Hassan Abdalla Hashim, Aisha, Aburas, Abdurazzag Ali, Alam, A. H. M. Zahirul, Asif, Ahmed

    Published 2010
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    Proceeding Paper
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  14. 14
    Multiple case-based retrieval for university course timetabling problem

    Multiple case-based retrieval for university course timetabling problem by Hong, Siaw Theng

    Published 2016
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    Thesis
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  15. 15
    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling

    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

    Published 2024
    “…A particle swarm optimization algorithm is used to optimize the knowledge database information that is developed based on the perception of driver toward risk in the driving environment. …”
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    Book Chapter
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  16. 16
    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
    “…The models will be generating and producing the optimal maintenance schedule with minimal maintenance costs. The optimal schedules obtained were compared with the actual based on parameters and judgement from power plant planning team. …”
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  17. 17
    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling

    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

    Published 2024
    “…A particle swarm optimization algorithm is used to optimize the knowledge database information that is developed based on the perception of driver toward risk in the driving environment. …”
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    Book Chapter
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  18. 18
    Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance

    Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance by Tan, Su Sze

    Published 2019
    “…This provides a large corpus of information retrievable for data mining and knowledge discovery. The case study is focused on the investigation of machine breakdown and the effectiveness of scheduled maintenance with the application of data mining. …”
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    Monograph
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  19. 19
    Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm

    Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm by Emily Siew, Sing Kiang, Sze, San Nah, Goh, Say Leng

    Published 2025
    “…This problem remains an active area of research and, to the authors’ knowledge, has not been adequately addressed by the WOA algorithm. …”
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  20. 20
    Exploiting Bayesian belief network for adaptive IP-reuse decision

    Exploiting Bayesian belief network for adaptive IP-reuse decision by Azman, Amelia Wong, Bigdeli, Abbas, Biglari-Abhari, Morteza, Mohd Mustafah, Yasir, Lovell, Brian

    Published 2009
    “…This paper presents a novel fully automatic hybrid framework that combines heuristic and knowledge-based approaches to partition, allocate and schedule IP modules efficiently. …”
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    Proceeding Paper
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