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  1. 1

    Enhancement of Ant System Algorithm for Course Timetabling Problem by Djamarus, Djasli

    Published 2009
    “…Results of the experiments that were conducted using various data sets showed that the proposed algorithm produced better course schedule solution than the Greedy Algorithm, Genetic Algorithm, and other variants of Ant System Algorithm.…”
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    Thesis
  2. 2

    A Micro-Genetic Algorithm Approach for Soft Constraint Satisfaction Problem in University Course Scheduling by Abd. Halim, Bohadean @ Bohari

    Published 2013
    “…Thus, this study proposes an encoding chromosome representation using one-dimensional arrays to improve the Micro Genetic algorithm approach to soft constraint problems in the university course schedule. …”
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  3. 3

    Harmony annealing algorithm for curriculum-based course timetabling problem by Wahid, Juliana, Mohd Hussin, Naimah

    Published 2012
    “…An attempt to solve these problems was made via an approach broken down into two parts; first, constructive algorithm with saturation degree approach was used to ensure a feasible solution, where the hard constraints are satisfied.Secondly, Harmony annealing algorithm was used to further improve the results obtained.The algorithm produced results that were not comparatively better than those previously known as best solution.With proper modification in terms of the approach in this algorithm would make the algorithm perform better on curriculum-based course timetabling.…”
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  4. 4

    Heuristic factors in ant system algorithm for course timetabling problem by Djamarus, Djasli, Ku-Mahamud, Ku Ruhana

    Published 2009
    “…This paper presents an algorithm that is based on ant system to solve the course timetabling problem.The problem is modeled using the bipartite graph.Four heuristic factors are derived from the graph characteristic, are used to direct ants as the agent in finding course timetable elements The concept of negative pheromone was also applied to ensure that paths leading to dead ends are not chosen.The performance of this proposed algorithm is promising when comparison of performance was made with the original ant system algorithm. …”
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  5. 5

    Harmony search algorithm for curriculum-based course timetabling problem by Wahid, Juliana, Mohd Hussin, Naimah

    Published 2013
    “…With proper modification in terms of the approach in this algorithm would make the algorithm perform better on curriculum-based course timetabling.…”
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    Article
  6. 6

    Harmony search algorithm for curriculum-based course timetabling problem by Wahid, Juliana, Mohd Hussin, Naimah

    Published 2013
    “…However, the algorithm produced results that were not comparatively better than those previously known as best solution.With proper modification in terms of the approach in this algorithm would make the algorithm perform better on curriculum-based course timetabling.…”
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  7. 7

    Solving an application of university course timetabling problem by using genetic algorithm by Norhana, Shaibatul Khadri

    Published 2022
    “…Therefore, this study produces the best timetable using GA to solve clashed courses, optimize room utilization and maximize lecturers’ preferences. …”
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  8. 8

    Sequential constructive algorithm incorporate with fuzzy logic for solving real world course timetabling problem by Tan, Li June, Joe H. Obit, Leau, Yu Beng, Jetol Bolongkikit, Rayner Alfred

    Published 2020
    “…The concept of the algorithm is to assign event based on their difficulty value by using different sequential heuristic. …”
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    Fuzzy- logic multi-agent system for solving course time tabling problems by Tan, Li June

    Published 2020
    “…This research presents a framework which integrates fuzzy logic and multi-agent system to generate feasible course timetable. The main algorithm used in the proposed framework is Sequential Constructive Algorithm. …”
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    Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables by Abdullah S., Shaker K., Shaker H.

    Published 2023
    “…In this study, we apply three algorithms, that is, Great Deluge, Simulated Annealing and Hill Climbing where the Round Robin algorithm is used as control strategy in choosing the algorithm to be employed at the current stage. …”
    Article
  13. 13

    A Genetic Algorithm for the Real-world University Course Timetabling Problem by Chee, Hung Wong, Goh, Say Leng, Jonathan Likoh Juis @ Juise

    Published 2022
    “…In this work, we propose a Genetic Algorithm (GA) in addressing a post enrolment course timetabling (PECTT) problem for University Malaysia Sabah-Labuan International Campus (UMS-LIC). …”
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  14. 14

    Heuristic algorithm for university final examination timetabling by Thian, Tze Yung

    Published 2015
    “…There are two parts fbr the algorithm which are course grouping and timeslot allocation. …”
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    Final Year Project Report / IMRAD
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    Neural Network Prediction of Suitability Course for Post PMR Students by Tuck, Looi

    Published 2003
    “…This study aims to develop a Neural Network Model for predicting suitability course for post PMR students. Artificial Neural Network technique, using Multilayer Perceptron and backpropagation algorithm was employed in this case study. …”
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    Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil by Jamli, Mohd Radhi Fauzan, Ahmad Fadzil, Ahmad Firdaus

    Published 2024
    “…The research endeavors to develop a web-based system specifically designed to create personalized university timetables for Universiti Teknologi MARA (UiTM) students using genetic algorithms, aiming to address the urgent need for a customizable timetable solution catering to the diverse scheduling requirements of both repeater and non-repeater students while optimizing course group selection to minimize conflicts and enhance scheduling flexibility. …”
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    Article
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    CSC669 - Cryptographic Algorithms / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

    Published 2021
    “…This course will be blend of theory and practice, covering standardized cryptosystems widely used in practice without sacrificing rigor or an emphasis on foundations. …”
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    Teaching Resource
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