Search Results - (( developing function method algorithm ) OR ( strategy implementation using algorithm ))

Search alternatives:

Refine Results
  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. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  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
    “…The second level compnses of two HS optimization algorithms developed and coded for robust stability examinations. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    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. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    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.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    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
    “…Global method performs a matching process using global energy or a probability function over the whole image. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    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. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    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. …”
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  8. 8
    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. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  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. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    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 developed scheme is comprehensive enough for use with any wavelet basis function. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    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. …”
    Get full text
    Get full text
    Research Report
    Save to List
    Saved in:
  12. 12
    Solving ordinary differential equations using block multistep method

    Solving ordinary differential equations using block multistep method by Mehrkanoon, Siamak

    Published 2011
    “…Unlike previous methods, the Gauss-Seidel approach is used for the implementation of the proposed method instead of Jacobi iteration. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    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
    “…The purpose of this project is to reduce dynamic thermal power dissipation of SHA-256 unfolding transformation. State encoding is a method used in reducing power design strategies that have been proposed to lower the dynamic power dissipation of the algorithm. …”
    Get full text
    Get full text
    Get full text
    Proceeding
    Save to List
    Saved in:
  14. 14
    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems

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

    Published 2019
    “…Therefore, it is necessary to develop a tuning strategy that requires less computation time. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems

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

    Published 2019
    “…Therefore, it is necessary to develop a tuning strategy that requires less computation time. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Nomadic people optimizer (NPO) for large-scale optimization problems

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

    Published 2019
    “…A Wilcoxon Signed-Rank Test was performed to measure the pair-wise statistical performances of the algorithms and from the results, NPO recorded a better statistical performance compared to the other benchmarking algorithms. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    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 system identification based on neural network (NN) offers an alternative method for quadcopter dynamics modelling. 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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Optimized fuzzy logic sliding mode control with proportional-integral-derivative for an electrohydraulic actuator system

    Optimized fuzzy logic sliding mode control with proportional-integral-derivative for an electrohydraulic actuator system by Ghani, Muhamad Fadli

    Published 2023
    “…The proposed control strategy was designed with the switching function modification based on an FL approach in the conventional SMC algorithm called FLSMC. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Multistep block method for solving second and third order boundary value problems with Robin and mixed type boundary conditions

    Multistep block method for solving second and third order boundary value problems with Robin and mixed type boundary conditions by Mohd Nasir, Nadirah

    Published 2020
    “…The BVPs are solved directly using the new developed two-point diagonally implicit multistep block method in the form of Adams type formula. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Quasi-Newton type method via weak secant equations for unconstrained optimization

    Quasi-Newton type method via weak secant equations for unconstrained optimization by Lim, Keat Hee

    Published 2021
    “…Armijo condition is implemented in the algorithms to generate monotone property in each iteration. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: