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  1. 1
    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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  2. 2
    An intelligent framework for modelling and active vibration control of flexible structures

    An intelligent framework for modelling and active vibration control of flexible structures by Mohd. Hashim, Siti Zaiton

    Published 2004
    “…The second controller design strategy is based on a cost function optimization using GAS. …”
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  3. 3
    Application of minimax algorithm in dots and boxes game

    Application of minimax algorithm in dots and boxes game by Tan, Ah Hwa

    Published 2025
    “…The methodology involved implementing the Minimax algorithm as the primary decision-making engine for the AI. …”
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    Final Year Project / Dissertation / Thesis
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  4. 4
    Model predictive control on fed-batch penicillin fermentation process

    Model predictive control on fed-batch penicillin fermentation process by Chew, Li Mei

    Published 2009
    “…In this research study the development of optimization strategies for a fed-batch penicillin fermentation process using model predictive controller was simulated using MATLAB 7.1 software. …”
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    Undergraduates Project Papers
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  5. 5
    Simulated Kalman Filter algorithms for solving optimization problems

    Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

    Published 2019
    “…The proposed population-based SKF algorithm and the single solution-based SKF algorithm use the scalar model of discrete Kalman filter algorithm as the search strategy to overcome these flaws. …”
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  6. 6
    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm

    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Shamshirgaran, S. Reza, Ameri, M, Khalajiassadi, Morteza, Ahmadi, M. Hossein

    Published 2016
    “…The main objective of this paper is to obtain the optimum parameters through which the CAES GT cycle can be designed effectively. The cost-benefit function as a target function has been maximized using the Genetic Algorithm. …”
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  7. 7
    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm

    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Reza Shamshirgaran, S., Ameri, M., Khalaji, M., Ahmadi, M.H.

    Published 2016
    “…The main objective of this paper is to obtain the optimum parameters through which the CAES GT cycle can be designed effectively. The cost-benefit function as a target function has been maximized using the Genetic Algorithm. …”
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  8. 8
    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm

    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Reza Shamshirgaran, S., Ameri, M., Khalaji, M., Ahmadi, M.H.

    Published 2016
    “…The main objective of this paper is to obtain the optimum parameters through which the CAES GT cycle can be designed effectively. The cost-benefit function as a target function has been maximized using the Genetic Algorithm. …”
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  9. 9
    PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM

    PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM by ABDALLA, OSMAN AHMED

    Published 2011
    “…This research focuses on the use of binaryencoded genetic algorithm (GA) to implement efficient search strategies for the optimal architecture and training parameters of a multilayer feed-forward ANN. …”
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  10. 10
    Agarwood oil quality classification using one versus all strategies in multiclass on SVM model / Aqib Fawwaz Mohd Amidon … [et al.]

    Agarwood oil quality classification using one versus all strategies in multiclass on SVM model / Aqib Fawwaz Mohd Amidon … [et al.] by Mohd Amidon, Aqib Fawwaz, Mahabob, Noratikah Zawani, Ismail, Nurlaila, Mohd Yusoff, Zakiah, Taib, Mohd Nasir

    Published 2021
    “…Support vector machine (SVM) has been chosen as a main model and for the specific function algorithm was multiclass function. Then, in the function, the one versus all (OVA) strategies has been used. …”
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  11. 11
    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
    “…The second level compnses of two HS optimization algorithms developed and coded for robust stability examinations. …”
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  12. 12
    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan Yin Keong, Tan Yin

    Published 2012
    “…We implement a branch-and-contract algorithm that aims at reducing the size of the search region. …”
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    Final Year Project
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  13. 13
    New Quasi-Newton Equation And Method Via Higher Order Tensor Models

    New Quasi-Newton Equation And Method Via Higher Order Tensor Models by Gholilou, Fahimeh Biglari

    Published 2010
    “…The implementation of the new proposed method on a set of test problems highlights that the derivation of this new method is more efficient in performing the standard algorithm.…”
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  14. 14
    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan , Yin Keong

    Published 2009
    “…We implement a branch-and-contract algorithm that aims at reducing the size of the search region. …”
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  15. 15
    Block multistep methods for solving first order retarded and neutral delay differential equations

    Block multistep methods for solving first order retarded and neutral delay differential equations by Abdul Aziz, Nurul Huda

    Published 2015
    “…The numerical solution of RDDE is then extended for solving the neutral delay differential equations (NDDE) of non-discontinuity and discontinuity cases. A new subroutine function has been added in the developed algorithm with the capabilities to approximate the neutral delay term using the interpolation of function evaluation. …”
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  16. 16
    Disparity map algorithm for stereo matching process using local based method

    Disparity map algorithm for stereo matching process using local based method by Gan, Melvin Yeou Wei

    Published 2022
    “…However, the computation for the development of SVDM algorithm is more challenging especially for the images with complex scenes. …”
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  17. 17
    Investigation on pattern based Algorithm for division by a constant number using Verilog code for optimization on the Nelust results

    Investigation on pattern based Algorithm for division by a constant number using Verilog code for optimization on the Nelust results by Fouziah Md Yassin, Ag Asri Ag Ibrahim, Zaturrawiah Ali Omar, Saturi Baco

    Published 2015
    “…The research is to develop an algorithm of unsigned constant division via add-shift method using Verilog code. …”
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    Research Report
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  18. 18
    Real-time identification of an unmanned quadcopter flight dynamics using fully tuned radial basis function network

    Real-time identification of an unmanned quadcopter flight dynamics using fully tuned radial basis function network by Pairan, Mohammad Fahmi

    Published 2018
    “…Recursive learning algorithms, such as Constant Trace (CT) can be implemented to solve insufficient training data and over-fitting problems by developing a new model from real-time flight data in each time step. …”
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  19. 19
    Simulation-Based Power Estimation for High Throughput SHA-256 Design on Unfolding Transformation

    Simulation-Based Power Estimation for High Throughput SHA-256 Design on Unfolding Transformation by Shamsiah, Suhaili, Norhuzaimin, Julai, Asrani, Lit, Maimun Binti, Huja Hussin, Mohamad Faizrizwan bin, Mohd Sabri

    Published 2022
    “…State encoding is a method used in reducing power design strategies that have been proposed to lower the dynamic power dissipation of the algorithm. …”
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    Proceeding
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  20. 20
    Structural health monitoring using adaptive wavelet functions / Seyed Hossein Mahdavi

    Structural health monitoring using adaptive wavelet functions / Seyed Hossein Mahdavi by Seyed Hossein, Mahdavi

    Published 2016
    “…The first part of this research is directed towards improving an explicit and indirect time integration method for structural dynamic problems capable of using adaptive wavelets. The developed scheme is comprehensive enough for use with any wavelet basis function. …”
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