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  1. 1

    Automated scheduling of hostel room allocation using genetic algorithm by Rayner Alfred, Hin, Fuk Yu

    Published 2020
    “…This paper proposes a hierarchical heuristics approach to cope with hostel room allocation problem. The proposed approach involves selecting eligible students using rank based selection method and allocating selected students to the most suitable hostel room possible via the implementation of a genetic algorithm (GA). …”
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    Conference or Workshop Item
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    Tackling the berth allocation problem via harmony search algorithm by Ahmed, Bilal, Hamdan, Hazlina, Muhammed, Abdullah, Husin, Nor Azura

    Published 2024
    “…Berth Allocation Problem (BAP) is a renowned difficult combinatorial optimization problem that plays a crucial role in maritime transportation systems. …”
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    Article
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    Heuristic scheduling strategies for the airport check-in counter allocation problem by Soo, Yew Guan, Mohd Rosli, Muhammad Nizam, Duan, Feng

    Published 2025
    “…This study addresses the Airport Check-in Counter Allocation Problem (CCAP) within the specific context of Malaysian airports, proposing a robust heuristic scheduling framework to mitigate resource congestion. …”
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  6. 6

    A study on course timetabling for FCSIT by Bong,, Chia Lih

    Published 2014
    “…This thesis proposes a heuristic method for solving faculty course timetabling problem. The algorithm can be divided into two stages. …”
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    Final Year Project Report / IMRAD
  7. 7

    Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems by Ali, Zuhura Juma

    Published 2021
    “…Second, the downlink NOMA’s resource allocation problems in a heterogeneous network (NOMA-HetNets) are investigated. …”
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    Thesis
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    Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm by Rahman, Imran, Vasant, Pandian, Mahinder Singh, Balbir Singh, Abdullah-Al-Wadud, M.

    Published 2014
    “…We used Gravitational Search Algorithm (GSA) to intelligently allocate energy to the PHEVs considering constraints such as energy price, remaining battery capacity, and remaining charging time.…”
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    Conference or Workshop Item
  10. 10

    An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms by Ullah, Arif

    Published 2021
    “…Therefore, to overcome these problems, this study proposed an improved dynamic load balancing technique known as HBAC algorithm which dynamically allocates task by hybridizing Artificial Bee Colony (ABC) algorithm with Bat algorithm. …”
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    Thesis
  11. 11

    An effective hybrid local search approach for the post enrolment course timetabling problem by Goh, Say Leng, Kendall Graham, Sabar Nasser R., Salwani Abdullah

    Published 2020
    “…It is one of the most challenging resources allocation problems faced by universities around the world. …”
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    Article
  12. 12

    Development of a task-oriented, auction-based task allocation framework for a heterogeneous multirobot system by Tan, Eijyne, Rishwaraj, G., Ponnambalam, S. G.

    Published 2020
    “…One of the critically investigated problems of multirobot system is the multirobot task allocation (MRTA) issue. …”
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    Article
  13. 13

    Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System by Nwogbaga, Nweso Emmanuel

    Published 2023
    “…Secondly, a hybrid Genetic Algorithm and Enhanced Inertia Weight Particle Swarm Optimization (GAEIWPSO) algorithm for optimal resource allocation to minimize the delay is proposed. …”
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    Thesis
  14. 14

    Partial examination assignment approaches for solving examination timetabling problems by Mandal, Ashis Kumar

    Published 2016
    “…Examination timetabling is one type of scheduling problems faced by academic institutions when allocating examinations into a limited number of time slots and/or rooms. …”
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    Thesis
  15. 15

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

    Published 2022
    “…Meta-heuristic algorithms are mostly used to solve this problem. For example, Genetic Algorithm with Particle Swarm Optimization, Genetic Algorithm with Artificial Bee Colony Algorithms (ABC) and Genetic Algorithm with Ant Colony Optimization Algorithms. …”
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    Academic Exercise
  16. 16

    Heuristic Algorithm For Nurse Scheduling Problem by Wee, Sze Ming

    Published 2023
    “…Since the Nurse Scheduling Problem (NSP) is mostly made up of numerous restrictions and assumptions, it is referred to as the Np-Hard problem. …”
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    Final Year Project Report / IMRAD
  17. 17

    SMALL-SCALE PRIMARY SCHOOL TIMETABLING PROBLEM by Yong, Phang How

    Published 2019
    “…Only one subject from standard one to standard six without any repeated teacher is sorted into a same group, except for the case of combining classes. Period allocation is the second phase of this algorithm. Odd session groups will be allocated at the first slot of the day and first slot after recess then followed by even session group in random sequence. …”
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    Final Year Project Report / IMRAD
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    Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan by Abdul Motok@Mohd Ridzuan, Hafeezur Syakir

    Published 2020
    “…In this report, a Genetic Algorithm (GA) is applied for solving University sports timetabling problems. …”
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    Thesis
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    Tourist Trip Design Problem with user preference and popularity: a case study of Langkawi Island / Nabilah Anuar Ahmad and Huda Zuhrah Ab. Halim by Anuar Ahmad, Nabilah, Ab. Halim, Huda Zuhrah

    Published 2023
    “…This study proposed enhancement in the greedy algorithm approach (Benjamin et al., 2019). A greedy algorithm solves a problem that selects the most appropriate option based on the current situation. …”
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    Book Section
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    Optimal resource allocation for NOMA wireless networks by Albogamy, Fahad R., Aiyashi, M. A., Hashim, Fazirul Hisyam, Imran Khan, Choi, Bong Jun

    Published 2022
    “…The major goal is to maximize the users’ maximum weighted sum rate. The suggested algorithm’s most notable feature is that it converges to the global optimal solution. …”
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    Article