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  1. 1
    Comparison between ant colony and genetic algorithm using traveling salesman problem

    Comparison between ant colony and genetic algorithm using traveling salesman problem by Abduljabbar, Zaid Ammen, Khalefa, Mustafa S., A. Jabar, Marzanah

    Published 2013
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  2. 2
    A Novel Integrating Between Tool Path Optimization Using An ACO Algorithm And Interpreter For Open Architecture CNC System

    A Novel Integrating Between Tool Path Optimization Using An ACO Algorithm And Interpreter For Open Architecture CNC System by Yusof, Yusri, Latif, Kamran, Hatem, Noor, A. Kadir, Aini Zuhra, Mohammed, M.A

    Published 2021
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  3. 3
    Recent advances of whale optimization algorithm, its versions and applications

    Recent advances of whale optimization algorithm, its versions and applications by Alyasseri Z.A.A., Ali N.S., Al-Betar M.A., Makhadmeh S.N., Jamil N., Awadallah M.A., Braik M., Mirjalili S.

    Published 2024
    “…The main idea behind the SI is to transfer the interactions between living organisms into a mathematical model that can find the optimal solution for real-world problems based on biological behavior such as ants, birds, and fish. One of the SI algorithms is called the whale optimization algorithm (WOA). …”
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  4. 4
    Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)

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

    Published 2022
    “…As for the running method the compilation of the code will be run by using cmd and Ant Apache and the total average result of 30 simulation will be view on the web base application will be run using xampp.…”
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    Academic Exercise
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  5. 5
    Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration

    Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration by Md Nor, Khairul Affendy, Abdul Muthalif, Asan Gani, Wahid, Azni N.

    Published 2014
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    Proceeding Paper
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  6. 6
    Optimization And Execution Of Multiple Holes-Drilling Operations Based On STEP-NC

    Optimization And Execution Of Multiple Holes-Drilling Operations Based On STEP-NC by Yusof, Yusri, Latif, Kamran, Hatem, Noor, A. Kadir, Aini Zuhra, Abedlhafd, Mohammed M.

    Published 2021
    “…The newly developed system combines between open CNC control system and ant colony optimization (ACO) algorithm by using LabVIEW software. …”
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  7. 7
    Performance analysis of feature selection algorithm for educational data mining

    Performance analysis of feature selection algorithm for educational data mining by Zaffar, M., Hashmani, M.A., Savita, K.S.

    Published 2018
    “…Selecting relevant features for student prediction model is very sensitive issue for educational stakeholders, as they have to take decisions on the basis of results of prediction models. …”
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  8. 8
    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms

    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms by Azwa, Abdul Aziz, Fadhilah, Ahmad

    Published 2014
    “…The comparative analysis is also conducted to discover the best classification model for prediction. From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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    Conference or Workshop Item
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  9. 9
    A study of feature selection algorithms for predicting students academic performance

    A study of feature selection algorithms for predicting students academic performance by Zaffar, M., Savita, K.S., Hashmani, M.A., Rizvi, S.S.H.

    Published 2018
    “…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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  10. 10
    A study of feature selection algorithms for predicting students academic performance

    A study of feature selection algorithms for predicting students academic performance by Zaffar, M., Savita, K.S., Hashmani, M.A., Rizvi, S.S.H.

    Published 2018
    “…In EDM, Feature Selection (FS) plays a vital role in improving the quality of prediction models for educational datasets. FS algorithms eliminate unrelated data from the educational repositories and hence increase the performance of classifier accuracy used in different EDM practices to support decision making for educational settings. …”
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  11. 11
    Harmony Search algorithm-based gasoline consumption modeling for Indonesia

    Harmony Search algorithm-based gasoline consumption modeling for Indonesia by Anggarani, Riesta, Watada, Junzo

    Published 2012
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    Working Paper
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  12. 12
    A framework for design of automated lecture timetabling using memetic algorithm / Zarina Zainul Rashid, Roslan Sadjirin and Norhafizah Hashim

    A framework for design of automated lecture timetabling using memetic algorithm / Zarina Zainul Rashid, Roslan Sadjirin and Norhafizah Hashim by Rashid, Zarina Zainul, Sadjirin, Roslan, Hashim, Norhafizah

    Published 2009
    “…In this paper, the writerspresent the use of memetic algorithm in the framework design with affective explorative ability to model huge search space. …”
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  13. 13
    Enhancing hyperparameters of LSTM network models through genetic algorithm for virtual learning environment prediction

    Enhancing hyperparameters of LSTM network models through genetic algorithm for virtual learning environment prediction by Ismanto, Edi, Ab Ghani, Hadhrami, Md Saleh, Nurul Izrin

    Published 2025
    “…These findings highlight the effectiveness of adaptive and genetic algorithms in enhancing LSTM model performance for VLE prediction, offering valuable insights for educational technology advancement.…”
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  14. 14
    Exploring c Environment (S/O: 12826)

    Exploring c Environment (S/O: 12826) by Abdul Rahman, Syariza, Ku Mahamud, Ku Ruhana, Ramli, Razamin, Benjamin, Aida Mauziah, Omar, Mohd Faizal

    “…These constraints provide additional challenges in defining a suitable model and in finding a good timetable. The timetabling problem is to be rectified via hybridization of fly and suitable evolutionary algorithms. …”
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    Monograph
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  15. 15
    Development of Genetic Algorithms and Multilayer Perceptron Neural Network (Mpnn) Model To Study The Student Performance InThermodynamics

    Development of Genetic Algorithms and Multilayer Perceptron Neural Network (Mpnn) Model To Study The Student Performance InThermodynamics by K., Kadirgama, M. M., Noor, M. S. M., Sani, M. M., Rahman, M. R. M., Rejab

    Published 2009
    “…Student performance is very crucial to any educational institution. The neural network and genetic algorithms (GA) method were used to measure student performance in Thermodynamic at Faculty of Mechanical Engineering, University Malaysia Pahang (UMP). …”
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  16. 16
    Teletraffic performance of mobile cellular channel assignment using genetic algorithm

    Teletraffic performance of mobile cellular channel assignment using genetic algorithm by Kiong T.S., Ismail M., Hassan A.

    Published 2023
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  17. 17
    Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance

    Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance by Alsariera Y.A., Baashar Y., Alkawsi G., Mustafa A., Alkahtani A.A., Ali N.

    Published 2023
    Review
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  18. 18
    Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm

    Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm by Ashraf, Erum

    Published 2023
    “…It involves identifying potential courses learning style, validated through genetic and surrogate meta-heuristics optimization algorithms, and employing Felder-Silverman model for learning style identification. …”
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    Thesis
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  19. 19
    A conceptual multi-agent framework using ant colony optimization and fuzzy algorithms for learning style detection

    A conceptual multi-agent framework using ant colony optimization and fuzzy algorithms for learning style detection by Basheer G.S., Ahmad M.S., Tang A.Y.C.

    Published 2023
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  20. 20
    A data mining approach to construct graduates employability model in Malaysia

    A data mining approach to construct graduates employability model in Malaysia by Sapaat, Myzatul Akmam, Mustapha, Aida, Ahmad, Johanna, Chamili, Khadijah, Muhamad, Rahamirzam

    Published 2011
    “…The performance of Bayes algorithms are also compared against a number of tree-based algorithms. …”
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