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  1. 1
    Newton competitive genetic algorithm method for optimization the production of biochemical systems

    Newton competitive genetic algorithm method for optimization the production of biochemical systems by Ismail, Mohd Arfian, Ab Razak, Kirahman, Kohbalan, Moorthy, Mezhuyev, Vitaliy, Kasim, Shahreen, Ibrahim, Ashraf Osman

    Published 2018
    “…In this work, the optimization of biochemical systems production is performed by using a hybrid method of Newton competitive genetic algorithm is presented. …”
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  2. 2
    Newton competitive genetic algorithm method for optimization the production of biochemical systems

    Newton competitive genetic algorithm method for optimization the production of biochemical systems by Mohd Arfian, Ismail, Kirahman, Ab Razak, Kohbalan, Moorthy, Mezhuyev, Vitaliy, Shahreen, Kasim, Ashraf Osman, Ibrahim

    Published 2018
    “…In this work, the optimization of biochemical systems production is performed by using a hybrid method of Newton competitive genetic algorithm is presented. …”
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  3. 3
    A Newton Cooperative Genetic Algorithm Method for In Silico Optimization of Metabolic Pathway Production

    A Newton Cooperative Genetic Algorithm Method for In Silico Optimization of Metabolic Pathway Production by Mohd Arfian, Ismail, Safaai, Deris, Mohd Saberi, Mohamad, Afnizanfaizal, Abdullah

    Published 2015
    “…The NCGA used Newton method in dealing with the metabolic pathway, and then integrated genetic algorithm and cooperative co-evolutionary algorithm. …”
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  4. 4
    Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller

    Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller by Ismail, H. Muh Yusuf

    Published 2010
    “…GA have been successfully applied to solve many optimization problems. This research proposes a method that may help users to determine the membership function of FLC using the technique of GA optimization for the fastest processing in solving the problems. …”
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  5. 5
    Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani

    Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani by Abdul Ghani, Nur Syafiqah

    Published 2021
    “…Ant colony optimization has been inspired by the action of the actual ant colony and is used to solve discrete optimization issues. …”
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    Student Project
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  6. 6
    Particle swarm optimization with deep learning for human action recognition

    Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…The features are reduced using the particle swarm optimization detection technique in video image sequences to reduce the computational complexity. …”
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  7. 7
    A Chameleon algorithm for solving economic dispatch problem in microgrid system

    A Chameleon algorithm for solving economic dispatch problem in microgrid system by Zahraoui Y., Alhamrouni I., Mekhilef S., Kor�tko T., Jusoh A., Sutikno T.

    Published 2024
    “…The obtained results from the simulation are compared with the conventional metaheuristic algorithms which have been used in previous studies, such as particle swarm optimization (PSO), genetic algorithm (GA), and artificial bee colony (ABC). …”
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  8. 8
    A new ant based rule extraction algorithm for web classification

    A new ant based rule extraction algorithm for web classification by Ku-Mahamud, Ku Ruhana, Saian, Rizauddin

    Published 2011
    “…Methods to reduce the number of attributes and discretization are two important data pre-processing steps before the data can be used for classification activity. …”
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    Monograph
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  9. 9
    Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings

    Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings by Homod R.Z., Gaeid K.S., Dawood S.M., Hatami A., Sahari K.S.

    Published 2023
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  10. 10
    Modular motor driver with torque control for gripping mechanism

    Modular motor driver with torque control for gripping mechanism by How D.N.T., Baharuddin M.Z., Mohideen S.S.K., Sahari K.S.M., Anuar A.

    Published 2023
    “…Using the same hardware configuration, the different algorithms produced different outcomes on the output of the controller. …”
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  11. 11
    Optimal Maintenance Scheduling for Multi-Component E-Manufacturing System

    Optimal Maintenance Scheduling for Multi-Component E-Manufacturing System by Arab, Ali

    Published 2009
    “…Then, using genetic algorithm-based software which is called SimRunner and has been embedded by ProModel, the scheduling optimization procedure is run to find optimum maintenance schedule. …”
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  12. 12
    Deep Reinforcement Learning For Control

    Deep Reinforcement Learning For Control by Bakar, Nurul Asyikin Abu

    Published 2021
    “…Potential actions must be taken based on prior experiences using a trial and error process. …”
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  13. 13
    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm

    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm by Abd Rahman, Mohd Shahrizan, Jamaludin, Nor Azliana Akmal, Zainol, Zuraini, Tengku Sembok, Tengku Mohd

    Published 2025
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  14. 14
    Development of Fuzzy Multi-Criteria Analysis Method for Tender Cleaning Service Selection

    Development of Fuzzy Multi-Criteria Analysis Method for Tender Cleaning Service Selection by Aminudin, Nurul Bazlaa’

    Published 2017
    “…The subjective assessment process is model using fuzzy number and linguistic terms. …”
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    Final Year Project
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  15. 15
    A Data Mining Approach to Enhancing Birth and Death Registration Processes

    A Data Mining Approach to Enhancing Birth and Death Registration Processes by Erfan, Hasmin

    Published 2025
    “…The optimal number of clusters of clusters for birth and death data is determined as three using elbow and silhouette validation methods. …”
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  16. 16
    Discovering optimal features using static analysis and a genetic search based method for Android malware detection

    Discovering optimal features using static analysis and a genetic search based method for Android malware detection by Ahmad Firdaus, Zainal Abidin, Nor Badrul, Anuar, Ahmad, Karim, Mohd Faizal, Ab Razak

    Published 2018
    “…With this in mind, security practitioners have conducted static and dynamic analyses to identify malware. In this study, we used static analysis because of its overall code coverage, low resource consumption, and rapid processing. …”
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  17. 17
    Evaluation of optimal cooling control for seeded batch crystallization inclusive dissolution with uncertainties

    Evaluation of optimal cooling control for seeded batch crystallization inclusive dissolution with uncertainties by Siti Zubaidah, Adnan

    Published 2020
    “…The optimization algorithm was employed in order to determine the optimal set-point trajectory for closed-loop control. …”
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  18. 18
    Design of field programmable gate array-based proportional-integral-derivative fuzzy logic controller with tunable ganin

    Design of field programmable gate array-based proportional-integral-derivative fuzzy logic controller with tunable ganin by Obaid, Zeyad Assi

    Published 2010
    “…This block involves a tuning via scaling the universe of discourse and is able to accept optimal scaling gains. The particle swarm optimization method (PSO) is used to obtain the optimal values of these gains. …”
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  19. 19
    Discovering optimal features using static analysis and a genetic search based method for Android malware detection

    Discovering optimal features using static analysis and a genetic search based method for Android malware detection by Firdaus, Ahmad, Anuar, Nor Badrul, Karim, Ahmad, Razak, Mohd Faizal Ab

    Published 2018
    “…With this in mind, security practitioners have conducted static and dynamic analyses to identify malware. This study used static analysis because of its overall code coverage, low resource consumption, and rapid processing. …”
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  20. 20
    HELM based Reinforcement Learning for Goal Localization

    HELM based Reinforcement Learning for Goal Localization by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw

    Published 2016
    “…In this paper, reinforcement learning method was utilized to find optimal series of actions to localize the goal region. …”
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    Proceeding Paper
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