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  1. 1
    Adaptive-somersault MRFO for global optimization with an application to optimize PD control

    Adaptive-somersault MRFO for global optimization with an application to optimize PD control by Mohd Falfazli, Mat Jusof, Ahmad Nor Kasruddin, Nasir, Ahmad Azwan, Abdul Razak, Nurul Amira, Mhd Rizal, Mohd Ashraf, Ahmad, Ikhwan Hafiz, Muhamad

    Published 2022
    “…The application of the algorithm to optimize the PD control shows that the control scheme optimized by the proposed adaptive-somersault algorithm has attained a better control performance.…”
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  2. 2
    Harmony search-based robust optimal controller with prior defined structure

    Harmony search-based robust optimal controller with prior defined structure by Rafieishahemabadi, Ali

    Published 2013
    “…For further assessment, the proposed design strategy is then employed to design a control law for an electrical DC drive velocity controller used as a benchmark problem for the recent PSO-based and genetic algorithm optimization (GAO)-based robust controllers. …”
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  3. 3
    Opposition-based manta ray foraging algorithm for global optimization and its application to optimize nonlinear type-2 fuzzy logic control

    Opposition-based manta ray foraging algorithm for global optimization and its application to optimize nonlinear type-2 fuzzy logic control by Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Nor Maniha, Abdul Ghani, Mohammad Osman, Tokhi

    Published 2024
    “…A Manta Ray Foraging Optimization (MRFO) is a promising algorithm that can be applied to optimize the control design. …”
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  4. 4
    Opposition-based spiral dynamic algorithm with an application to optimize type-2 fuzzy control for an inverted pendulum system

    Opposition-based spiral dynamic algorithm with an application to optimize type-2 fuzzy control for an inverted pendulum system by Nasir, Ahmad Nor Kasruddin, Abdul Razak, Ahmad Azwan

    Published 2022
    “…They are also applied to optimize a type-2 fuzzy logic controller for an inverted pendulum system in comparison to SDA, Spotted Hyena Optimizer, Tunicate Swarm Algorithm, and Sooty Tern Optimization Algorithm. …”
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  5. 5
    Sine-based barnacle mating optimization for PD control of an inverted pendulum system

    Sine-based barnacle mating optimization for PD control of an inverted pendulum system by Muhammad Almaa Anwari, Roslan, Ahmad Nor Kasruddin, Nasir, Mohd Falfazli, Mat Jusof, Ahmad Azwan, Abd Razak, Mohd Ashraf, Ahmad

    Published 2022
    “…For the inverted pendulum application, both algorithms have satisfactorily optimized the controller. …”
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  6. 6
    Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm

    Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm by Lee, Clement Yuon Sien

    Published 2016
    “…An optimal charging strategy for plug-in hybrid electric vehicle (PHEV) is proposed and developed by using evolutionary algorithm to obtain the most suitable charging condition for each PHEV charging. …”
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    Undergraduates Project Papers
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  7. 7
    Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy

    Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy by Nur Aisyah Syafinaz, Suarin

    Published 2020
    “…The objectives of this research study is 1)to tune and optimize gains of Proportional-Integral-Derivative (PID) controller for wheeled mobile robot (WMR), 2)develop target searching strategy for swarm robotics system and 3)compared the performance of proposed method with the well-established methods, target searching strategy based on Particle Swarm Optimization (PSO) and Bat Algorithm (BA). …”
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  8. 8
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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    Final Year Project
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  9. 9
    Spiral-based manta ray foraging optimization to optimize PID control of a flexible manipulator

    Spiral-based manta ray foraging optimization to optimize PID control of a flexible manipulator by Abd Razak, Ahmad Azwan, Nasir, Ahmad Nor Kasruddin, Abd Ghani, N. M., Mhd Rizal, Nurul Amira, Mat Jusof, Mohd Falfazli, Muhamad, Ikhwan Hafiz

    Published 2020
    “…In terms of solving an engineering application, the proposed algorithm is applied to optimize a PID controller for a flexible manipulator system. …”
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  10. 10
    Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity

    Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity by Ahmad Azwan, Abdul Razak

    Published 2019
    “…There are still rooms for improvement the algorithm performance by manipulating the algorithm strategy. …”
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  11. 11
    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game

    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

    Published 2015
    “…In the last experiment, the results showed that DE and EP algorithms can generate superior controllers whilst PDE is only capable to generate sub-optimal controllers. …”
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  12. 12
    PI controller based genetic algorithm for PV inverter using SPWM technique / Muhammad Hafiz Dzikri Mohammad Salihhuddin

    PI controller based genetic algorithm for PV inverter using SPWM technique / Muhammad Hafiz Dzikri Mohammad Salihhuddin by Mohammad Salihhuddin, Muhammad Hafiz Dzikri

    Published 2025
    “…This study focuses on optimizing a three-phase photovoltaic (PV) inverter system using Sinusoidal Pulse Width Modulation (SPWM) with Genetic Algorithm (GA)-optimized Proportional-Integral (PI) controllers. …”
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  13. 13
    Opposition based Spiral Dynamic Algorithm with an Application to a PID Control of a Flexible Manipulator

    Opposition based Spiral Dynamic Algorithm with an Application to a PID Control of a Flexible Manipulator by Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Mohd Falfazli, Mat Jusof, Shuhairie, Mohammad, Nurul Amira, Mhd Rizal

    Published 2019
    “…However, the proposed algorithm shows a better control response.…”
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  14. 14
    Smart Semi-active PID-ACO control strategy for tower vibration reduction in Wind Turbines with MR damper

    Smart Semi-active PID-ACO control strategy for tower vibration reduction in Wind Turbines with MR damper by Rahman, Mahmudur, Ong, Zhi Chao, Chong, Wen Tong, Julai, Sabariah

    Published 2019
    “…PID control parameters are optimized using an Ant colony optimization (ACO) algorithm. …”
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  15. 15
    A multi-objective Spiral Dynamic algorithm and its application for PD design

    A multi-objective Spiral Dynamic algorithm and its application for PD design by Ahmad Nor Kasruddin, Nasir, Mohd Ashraf, Ahmad, A. R.A., Azwan, Mohd Falfazli, Mat Jusof

    Published 2017
    “…In terms of its application in solving a real problem, both algorithms successfully optimize the PD and control the system very well. …”
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  16. 16
    Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review

    Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review by Oladosu T.L., Pasupuleti J., Kiong T.S., Koh S.P.J., Yusaf T.

    Published 2025
    “…Therefore, this study presents the prospect of artificial intelligence-based algorithms, control systems, and energy management strategies advances on HFCEVs performance optimization. …”
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  17. 17
    A coevolutionary multiobjective evolutionary algorithm for game artificial intelligence

    A coevolutionary multiobjective evolutionary algorithm for game artificial intelligence by Tse, Guan Tan, Teo, Jason Tze Wi, Rayner Alfred, Kim, On Chin

    Published 2013
    “…The Pareto Archived Evolution Strategy (PAES) algorithm is used to generate a Pareto optimal set of ANNs that optimize the conflicting objectives of maximizing game scores and minimizing neural network complexity. …”
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  18. 18
    Particle swarm optimization technique of current tracking controller for electric power-assisted steering system

    Particle swarm optimization technique of current tracking controller for electric power-assisted steering system by Bahmanshiri, Adel Amiri

    Published 2015
    “…In this case, three test procedure are done to show the performance of current tracking controller in different situations, also the current tracking performance with Particle Swarm Optimization (PSO)-PID controller compared to previous research that used Ant Colony Optimization (ACO)-PID controller [1] to show the percentage of error between reference motor current and actual motor current of proposed PSO optimization algorithm with 0.023% is much less than previous worked (ACO optimization algorithm) with 4.76%.So the proposed control strategy can improve otor current tracking performance in electric powers assisted steering (EPAS) systems.…”
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  19. 19
    Optimizing tree planting areas through integer programming and improved genetic algorithm

    Optimizing tree planting areas through integer programming and improved genetic algorithm by Md Badarudin, Ismadi

    Published 2012
    “…In addition, the strategy of control mechanism was applied in hybrid algorithm. …”
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  20. 20
    Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system

    Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system by Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Normaniha, Abd Ghani, Shuhairie, Mohammad, Mohd Falfazli, Mat Jusof, Nurul Amira, Mhd Rizal

    Published 2020
    “…However, this optimization algorithm can be improved in its strategy which increases its accuracy. …”
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