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  1. 1

    Application of conjugate gradient approach for nonlinear optimal control problem with model-reality differences by Leong, Wah June, Sie, Long Kek, Teo, Kok Lay, Sim, Sy Yi

    Published 2018
    “…In this paper, an efficient computational algorithm is proposed to solve the nonlinear optimal control problem. …”
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    Article
  2. 2

    Application of conjugate gradient approach for nonlinear optimal control problem with model-reality difference by Sie, Long Kek, Wah, June Leong, Sy, Yi Sim, Kok, Lay Teo

    Published 2018
    “…In this paper, an efficient computational algorithm is proposed to solve the nonlinear optimal control problem. …”
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    Article
  3. 3

    A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network by Jamaludin, Sallim, Rozlina, Mohamed, Roslina, Abd Hamid

    Published 2015
    “…Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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    Conference or Workshop Item
  4. 4

    A Hybrid ACO-Graph Entropy for Functional Modules Detection From Protein-Protein Interaction Network by Jamaludin, Sallim, Rozlina, Mohamed, Che, Yahaya, Roslina, Abdul Hamid

    Published 2018
    “…Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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    Article
  5. 5

    An Intelligent System Approach to the Dynamic Hybrid Robot Control by Md. Yeasin, Md. Mahmud Hasan

    Published 1996
    “…Finally, for the hybrid control system the task was decomposed into several individual intelligent control agents, where the task space was split into the position-controlled subspaces, the force-controlled subspaces and the uncertain hyper plane identification subspaces. …”
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    Thesis
  6. 6

    Tracking of dynamic arm motion estimation and interaction with fuzzy control by Badi, Haitham, Hamza, Alaa, Mohd Yunus, Mohd Amin

    Published 2016
    “…For robustly tracking the users arm position, an arm motion estimation method is designed based on the fuzzy predictive control fuzzy Mamdani algorithm theory. To verify the efficiency and accuracy of the pro- posed method, we use a Kalman filter algorithm to test stabilize the output.…”
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    Article
  7. 7

    A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali by Mohamed Kamali, Mohd Zahurin

    Published 2015
    “…Solving MRDE, especially nonlinear MRDE is the central issue in optimal control theory. It has been found that by implementing the ACP algorithm, the solution predicted is approximately close or similar to the exact solution. …”
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    Thesis
  8. 8

    Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function by Tan, Min Keng

    Published 2019
    “…This study aims to explore the potential of implementing multi-agent-based Genetic Algorithm (GA) with interactive metamodel to acquire regular optimisation on dynamic characteristic of traffic flow. …”
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    Thesis
  9. 9
  10. 10

    Nomadic people optimizer (NPO) for large-scale optimization problems by Mohamd Salih, Sinan Qahtan

    Published 2019
    “…The interaction between these clans is inspired by the concept of a group(s) of people controlled by their leader(s). …”
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    Thesis
  11. 11

    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

    Published 2024
    “…The evaluation process employs the Hypervolume (HV) indicator and Inverted Generational Distance (IGD) to scrutinize solution efficacy and coverage. The HM emerges as a dominant strategy, driven by the Multi-Objective Differential Evolution (MODE) algorithm under literature-based control parameter settings for the mathematical model. …”
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    Thesis
  12. 12

    Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation by Kamal Z., Zamli, Ahmed, Bestoun S., Mahmoud, Thair, Afzal, Wasif

    Published 2018
    “…Nevertheless, they require detailed control for the exploitation and exploration trade-off to avoid premature convergence (i.e. being trapped in local optima) as well as to enhance the solution diversity. …”
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    Book Chapter
  13. 13

    A robust, scalable multi-robot control and coordination framework achieving high throughput for parcel sorting centers by Ch'ng, Chee Henn

    Published 2025
    “…The framework’s traffic control mechanism achieves a 58.24% higher throughput compared to systems without such controls. …”
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    Final Year Project / Dissertation / Thesis
  14. 14
  15. 15

    Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization by Hamdi, Mustafa Maad, Audah, Lukman, Rashid, Sami Abduljabbar

    Published 2022
    “…Considering multi-metric approaches and their implicit conflicting nature, it is necessary to handle this through effective multi-objective optimization algorithms. An effective optimization can be handled using a meta-heuristic approach with a high level of solution interactions. …”
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    Article
  16. 16

    CPU Burst Processes Prioritization Using Priority Dynamic Quantum Time Algorithm: A Comparison with Varying Time Quantum and Round Robin Algorithms by Mohammed, Maysoon A., Mazlina, Abdul Majid, Balsam, A. Mustafa, Ghani, Rana Fareed

    Published 2015
    “…The simple Round-Robin algorithm has been improved by about 40%. By controlling quantum time according to the priorities and burst times of the processes, we experience fewer context switches and shorter waiting and turnaround times, thereby obtaining higher throughput…”
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  17. 17

    Solving large-scale problems using multi-swarm particle swarm approach by Salih, Sinan Q., Alsewari, Abdulrahman A.

    Published 2018
    “…The results showed that the proposed PSO algorithm outperformed the other algorithms in terms of the optimal solutions and the convergence.…”
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    Article
  18. 18

    Design, optimization and fabrication of a climbing six articulated-wheeled robot using artificial evolution and 3D printing by Lim, Shun Hoe, Teo, Jason Tze Wi

    Published 2015
    “…The research continues by transferring the evolved solutions from simulation to the real world using 3D printing. …”
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    Correlation with the fundamental PSO and PSO modifications to be hybrid swarm optimization by Hasan, Raed A, Najim, Suhel Shahab, Ahmed, Munef Abdullah

    Published 2021
    “…The downside of hybrid swarm optimization is that it frequently tends to arrive at suboptimal solutions. As such, efforts are being made into combining HSO and other algorithms to arrive at better quality solutions.…”
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    Article