Search Results - (( parameter simulation based algorithm ) OR ( parameter realization _ algorithm ))*

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  1. 1

    Optimization of turning parameters using genetic algorithm method by Shah Izwandi, Mohd Zawawi

    Published 2008
    “…The simulation based on Genetic Algorithm are successful develop and the optimum parameters values are obtained from the simulation.…”
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    Undergraduates Project Papers
  2. 2

    Parameter-Less Simulated Kalman Filter by Nor Hidayati, Abdul Aziz, Zuwairie, Ibrahim, Nor Azlina, Ab. Aziz, Saifudin, Razali

    Published 2017
    “…Simulated Kalman Filter (SKF) algorithm is a new population-based metaheuristic optimization algorithm. …”
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    Article
  3. 3

    Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm by Salehuddin, Fauziyah, Ahmad Jalaludin, Nabilah, Kaharudin, Khairil Ezwan, Arith, Faiz, Mohd Zain, Anis Suhaila, Md Junos@Yunus, Siti Aisah, R Apte, Prakash

    Published 2024
    “…This paper emphasizes the metaheuristic optimization approach in searching for the optimum input parameters of perovskite solar cell (PSC). The proposed approach is realized using Solar Cell Capacitance Simulator (SCAPS-1D) software incorporated with a hybrid L32 Taguchi DoE-based Genetic Algorithm. …”
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    Article
  4. 4

    Optimisation of laser cutting parameters of oil palm wood / Harizam Mohd Zin by Harizam, Mohd Zin

    Published 2013
    “…In some cases, the prediction errors of Taguchi ANN model was found larger than 10% even using a Levenberg Marquardt training algorithm. To overcome the problem, a hybrid genetic algorithm-based Taguchi ANN (GA-Taguchi ANN) has been developed. …”
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    Thesis
  5. 5

    Metaheuristic Optimization of Perovskite Solar Cell Using Hybrid L32 Taguchi Doe-Based Genetic Algorithm by Kaharudin K.E., Jalaludin N.A., Salehuddin F., Arith F., Mohd Zain A.S., Ahmad I., Mat Junos S.A., Apte P.R.

    Published 2025
    “…This paper emphasizes the metaheuristic optimization approach in searching for the optimum input parameters of perovskite solar cell (PSC). The proposed approach is realized using Solar Cell Capacitance Simulator (SCAPS-1D) software incorporated with a hybrid L32 Taguchi DoE-based Genetic Algorithm. …”
    Article
  6. 6

    Dynamic smart grid communication parameters based cognitive radio network by Haider H.T., Muhsen D.H., Shahadi H.I., See O.H., Elmenreich W.

    Published 2023
    “…A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. …”
    Article
  7. 7

    Finite Element Modeling Of Ballistic Penetration into Fabric Armor by Talebi, Hossein

    Published 2006
    “…This program (named DYNTEX) based on the mentioned algorithm is designed using MATLAB code. …”
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    Thesis
  8. 8

    Gasoline price forecasting: An application of LSSVM with improved ABC by Mustaffa, Zuriani, Yusof, Yuhanis, Kamaruddin, Siti Sakira

    Published 2014
    “…Optimizing the hyper-parameters of Least Squares Support Vector Machines (LSSVM) is crucial as it will directly influence the predictive power of the algorithm.To tackle such issue, this study proposes an improved Artificial Bee Colony (IABC) algorithm which is based on conventional mutation.The IABC serves as an optimizer for LSSVM.Realized in gasoline price forecasting, the performance is guided based on Mean Absolute Percentage Error (MAPE) and Root Mean Square Percentage Error (RMSPE).The conducted simulation results show that, the proposed IABCLSSVM outperforms the results produced by ABC-LSSVM and also the Back Propagation Neural Network.…”
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    Conference or Workshop Item
  9. 9

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

    Published 2024
    “…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
  10. 10

    Black widow optimization-based optimal PI-controlled wind turbine emulator by Premkumar K., Vishnupriya M., Babu T.S., Manikandan B.V., Thamizhselvan T., Ali A.N., Islam M.R., Kouzani A.Z., Parvez Mahmud M.A.

    Published 2023
    “…In this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). …”
    Article
  11. 11

    Monitoring the dielectric properties and propagation conditions of mortar for modern wireless mobile networks by Jawad, Mohammed A., Elwi, Mohammed Ahmed, Salih, Ethar Y., Elwi, Taha Ahmed, Abbas, Zulkifly

    Published 2020
    “…The obtained measurements are compared to the simulated results based on a full wave simulation software package of CSTMWS algorithms. …”
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    Article
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  13. 13

    Approximation techniques by Bingi, K., Ibrahim, R., Karsiti, M.N., Hassan, S.M., Harindran, V.R.

    Published 2020
    “…The chapter also provides the MATLAB commands for implementing the developed algorithms. The simulation results in the frequency domain show that the proposed approach produced better parameter approximation for the desired frequency range as compared to Oustaloup, refined Oustaloup, and Matsuda techniques. …”
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    Article
  14. 14

    Development of switchable planar reflectors for beam shaping realization by Abbasi, Muhammad Inam

    Published 2016
    “…Equivalent circuit model is demonstrated to offer a very close agreement between the simulated and scattering parameter measured results where a maximum discrepancy of 0.1dB was observed. …”
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    Thesis
  15. 15

    Multi-parametric optimization of aerodynamic performance and pedestrian crash in sedan front-end profiles by Nor Azman, Afzatul Najwa

    Published 2025
    “…A multiobjective optimization framework was developed using computational simulations, mathematical modelling, and evolutionary algorithms. …”
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    Thesis
  16. 16

    Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller by Mohd Aziri, Muhammad Hasif

    Published 2020
    “…Specifically, the algorithm to overcome these issues is proposed by using an ASMC and the speed control performances are tested in simulation by using PSIM software. …”
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    Thesis
  17. 17

    Optical Packet Switching Contention Resolution Based On A Hybrid Wavelength Conversion-Fiber Delay Line Scheme by Go, Yun Ii

    Published 2004
    “…The packet loss probability is addressed as the most inevitable and significant measurable performance parameter with QoS provisioning that is dominated by wavelength contention in optical packet switches. …”
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    Thesis
  18. 18

    Compressed channel estimation for massive MIMO-OFDM systems over doubly selective channels by Uwaechia, Anthony Ngozichukwuka, Mahyuddin, Nor Muzlifah, Ain, Mohd Fadzil, Abdul Latiff, Nurul Muazzah, Za'bah, Nor Farahidah

    Published 2019
    “…Simulation results demonstrate that the proposed scheme can effectively estimate the DS channel for massive MIMO-OFDM systems compared with other existing algorithms. …”
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    Article
  19. 19

    AQUEOUS TWO-PHASE POLYMER MIXTURE SYSTEM AS PROTEIN XTRACTION TECHNIQUE. MODELLING OF PROTEIN PARTITIONING BEHAVIOR by Ahmad, Murni M

    Published 2007
    “…A Gibbs energy of mixing minimization approach is presented to calculate the liquid-liquid equilibrium behaviour and protein partitioning behaviour in the polymer-mixture ATPES that is based on Flory-Huggins polymer theory. The minimization problem is solved using the modified Shor's R-algorithm for non-smooth optimization. …”
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  20. 20

    Modelling of Liquid-liquid Equilibrium Behaviour of Aqueous Two-Phase Polymer Mixture System for Protein Extraction by Ahmad, Murni M

    Published 2007
    “…We briefly discuss some issues involved in solving for the LLE compositions and present methods and steps taken to achieve robust, accurate and reliable simulations. We solve the minimization problem using the modified Shor's R-algorithm for non-smooth optimization [3,4]. …”
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