Search Results - (( parameter optimization method algorithm ) OR ( using practical problems algorithm ))

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  1. 1

    Optimization of turning parameters using ant colony optimization by Mohamad Nazri, Semoin

    Published 2008
    “…Method used for this project is Ant Colony Optimization. …”
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    Undergraduates Project Papers
  2. 2

    Optimizing capacitated electric vehicle route in logistic operations by Tiong, Samuel Fu Wei

    Published 2024
    “…The algorithm’s performance was further enhanced by applying the Taguchi method to fine-tune key parameters to solve the Capacitated Electric Vehicle Routing Problem (CEVRP). …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    Artificial intelligence technique in solving nano-process parameter optimization problem / Norlina Mohd Sabri...[et al.] by Mohd Sabri, Norlina, Puteh, Mazidah, Md Sin, Nor Diyana

    Published 2017
    “…This research is focusing on the RF magnetron sputtering process, one of the nanotechnology processes which are widely used in the thin film technology. The conventional method that is currently practiced in the optimization of the RF magnetron sputtering process parameters is trial and error method. …”
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    Article
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    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques by Hammid, Ali Thaeer

    Published 2018
    “…Firstly, a hybrid algorithm namely firefly particle swarm optimization (FPSO) and series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed. …”
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    Thesis
  6. 6

    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

    Published 2019
    “…Motivated by the limitations of the current methods, there is an advantage to using safe experimentation dynamics (SED) as a tool for optimization. …”
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    Thesis
  7. 7

    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

    Published 2019
    “…Motivated by the limitations of the current methods, there is an advantage to using safe experimentation dynamics (SED) as a tool for optimization. …”
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    Thesis
  8. 8

    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems by Woon, Siew Fang

    Published 2009
    “…Most practical discrete-valued optimal control problems have multiple local minima and thus require global optimization methods to generate practically useful solutions. …”
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    Thesis
  9. 9

    Standard equations for predicting the discharge coefficient of a modified high-performance side weir by Zaji, Amir Hossein, Bonakdari, Hossein, Shamshirband, Shahaboddin

    Published 2017
    “…The Particle Swarm Optimization (PSO) algorithm was used to optimize the parameters of the equations. …”
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    Article
  10. 10

    Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol by Md Fisol, Nur Atiqah Izzati

    Published 2023
    “…Children abandoned in vehicles is a critical issue that has led to numerous fatal injuries worldwide. To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. …”
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    Student Project
  11. 11

    Hybrid tabu search – strawberry algorithm for multidimensional knapsack problem by Wong, Jerng Foong

    Published 2022
    “…It is also used extensively in experiments to test the performances of metaheuristic algorithms and their hybrids. For example, Tabu Search (TS) has been successfully hybridized with other techniques, including particle swarm optimization (PSO) algorithm and the two-stage TS algorithm to solve MKP. …”
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    Thesis
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    A Stepper Motor Design Optimization Using by Wong, Chin Wei

    Published 2005
    “…There is a need to fill this void in the area of small-motor design, and develop a program using Genetic Algorithms (GAs) as an approach to achieve optimization. …”
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    Monograph
  14. 14

    Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak by Emily Sing Kiang, Siew

    Published 2025
    “…The original WOA is modified by replacing the equations designed for continuous problem domains with local search methods, enhancing its adaptability to discrete optimization problems. …”
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    Thesis
  15. 15

    A new hybrid three-term LS-CD conjugate gradient in solving unconstrained optimization problems by Ishak, M.A.I., Marjugi, S.M.

    Published 2024
    “…This paper presents a new three-term hybrid CG method for solving unconstrained optimization problems. …”
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    Article
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    Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network by Bujal, Noor Ropidah

    Published 2022
    “…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
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    Thesis
  18. 18

    Model Predictive Control Design for f Nonlinear Four-Tank System by Ansarpanahi, Shadi

    Published 2008
    “…The problems of complexity of algorithm, non-convexity of the optimization, especially when working with nonlinear plants are the most common problems in the control design criteria. …”
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    Thesis
  19. 19

    Combining Recursive Least Square and Principal Component Analysis for Assisted History Matching by Md. Anuar, Nurul Syaza

    Published 2014
    “…Currently not much attention is given for using RLS for history matching purposes. Even though RLS is a simple and effective method to estimate parameters, RLS have stability problem when number of parameters is high. …”
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    Final Year Project
  20. 20

    Discrete-time system identification using genetic algorithm with single parent-based mating technique by Zainuddin, Farah Ayiesya

    Published 2024
    “…The SPM technique offers researchers and practitioners a powerful tool for achieving faster convergence, better optimization, and more accurate models. This study not only advances the theoretical understanding of GA but also provides practical methodologies that can be applied to real-world problems, making it a valuable contribution to both academic research and practical applications.…”
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    Thesis