Search Results - (( parameter optimization method algorithm ) OR ( a contribution function algorithm ))*

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  1. 1
    Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods

    Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods by Mohammed Ridha, Hussein, Hizam, Hashim, Mirjalili, Seyedali, Othman, Mohammad Lutfi, Ya'acob, Mohammad Effendy, Ahmadipour, Masoud

    Published 2022
    “…The proposed guaranteed convergence arithmetic optimization algorithm based on efficient modified third order Newton Raphson (GCAOAEmNR) method highlights important contributions to the literature in terms of methodology (explorer-exploiter phases) and objective function design. …”
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  2. 2
    Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems

    Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems by Mohd Helmi, Suid

    Published 2024
    “…The empirical assessment of these proposed methods encompasses a diverse set of 23 benchmark functions, demonstrating their efficacy comparable to well-established metaheuristic algorithms such as as the Grey Wolf Optimizer (GWO), Multi-Verse Optimization (MVO), Sine Cosine Algorithm (SCA), Ant Lion Optimizer (ALO), Moth-Flame Optimization Algorithm (MFO), and Grasshopper Optimization Algorithm (GOA). …”
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  3. 3
    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
    “…Secondly, a new DE algorithm (ARDE-SPX) is introduced that automatically adapts a repository of DE strategies and parameters control schemes to avoid the problems of stagnation and make DE respond to a wide range of function characteristics at different stages of evolutionary search. …”
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  4. 4
    State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm

    State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm by Lipu M.S.H., Hannan M.A., Hussain A., Saad M.H.M., Ayob A., Blaabjerg F.

    Published 2023
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  5. 5
    Data driven neuroendocrine pid controller for mimo plants based adaptive safe experimentation dynamics algorithm

    Data driven neuroendocrine pid controller for mimo plants based adaptive safe experimentation dynamics algorithm by Mohd Riduwan, Ghazali

    Published 2020
    “…Data-driven tools are an optimization method to find the optimal controller parameters using the system’s input and output data. …”
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  6. 6
    Extension of RMIL conjugate gradient method for unconstrained optimization / Nur Idalisa Norddin

    Extension of RMIL conjugate gradient method for unconstrained optimization / Nur Idalisa Norddin by Norddin, Nur Idalisa

    Published 2023
    “…The Conjugate Gradient (CG) methods have significantly contributed to solving Unconstrained Optimization (UO) problems. …”
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  7. 7
    Alternative method for economic dispatch utilizing grey wolf optimizer

    Alternative method for economic dispatch utilizing grey wolf optimizer by Wong, Lo Ing

    Published 2015
    “…In addition, the flexibility of this algorithm is a merit to solve different problems by only setting few parameters such as number of population and number of iteration without any special changes in the structure of the algorithm. …”
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  8. 8
    Reproducing kernel Hilbert space method for cox proportional hazard model

    Reproducing kernel Hilbert space method for cox proportional hazard model by Abdul Manaf, Nur'azah

    Published 2016
    “…This algorithm is used to determine the vector i a that enables us to find the optimal parameters of ƒ(x)which is simplified as F(x)= ∑aᵢK(x,xᵢ) . …”
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  9. 9
    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis

    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis by Norman, Masayu

    Published 2019
    “…A spatio-statistical optimization technique that combines the Taguchi statistical method and a spatial plateau objective function (POF) was presented to improve the segmentation procedures for building footprint extraction. …”
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  10. 10
    Discrete-time system identification using genetic algorithm with single parent-based mating technique

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

    Published 2024
    “…This research makes several important contributions to the field of GA and SI. The introduction of the SPM technique represents a significant enhancement in the performance of GA, particularly in terms of improving genetic diversity and search optimization . …”
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  11. 11
    Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller

    Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller by Zaridah, Mat Zain

    Published 2010
    “…The contribution of this work is to optimize the base of Fuzzy membership function of the APFLC by using GA technique. …”
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  12. 12
    Optimal overcurrent relay coordination in wind farm using genetic algorithm

    Optimal overcurrent relay coordination in wind farm using genetic algorithm by Razaei, Nima

    Published 2015
    “…Each relay operation time and TSM are optimized which would contribute to provide a better protection for wind farm. …”
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  13. 13
    Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique

    Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique by Devendiran R., Kasinathan P., Ramachandaramurthy V.K., Subramaniam U., Govindarajan U., Fernando X.

    Published 2023
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  14. 14
    Designing of skull defect implants using C1 rational cubic Bezier and offset curves

    Designing of skull defect implants using C1 rational cubic Bezier and offset curves by Najihah, Mohamed, Ahmad, Abd Majid, Abd Rahni, Mt Piah, Zainul, Ahmad Rajion

    Published 2015
    “…A metaheuristic algorithm, called harmony search (HS) is a derivative-free real parameter optimization algorithm inspired from the musical improvisation process of searching for a perfect state of harmony. …”
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  15. 15
    Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter

    Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter by Suliana, Ab Ghani, Hamdan, Daniyal, Norazila, Jaalam, Nur Huda, Ramlan, Norhafidzah, Mohd Saad

    Published 2022
    “…A proportional-integral (PI) controller is a common method in power electronics applications, including DAB. …”
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  16. 16
    Mobility-aware Offloading Decision For Multi-access Edge Computing In 5g Networks

    Mobility-aware Offloading Decision For Multi-access Edge Computing In 5g Networks by Saeid Jahandar, Lida Kouhalvandi, Ibraheem Shayea, Mustafa Ergen, Marwan Hadri Azmi, Hafizal Mohamad

    Published 2024
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  17. 17
    Time-Variant online Auto-Tuned PI controller using PSO algorithm for high accuracy dual active bridge DC-DC converter

    Time-Variant online Auto-Tuned PI controller using PSO algorithm for high accuracy dual active bridge DC-DC converter by Suliana, Ab Ghani, Hamdan, Daniyal, Norazila, Jaalam, Nur Huda, Ramlan, Norhafidzah, Mohd Saad

    Published 2022
    “…A proportional-integral (PI) controller is a common method in power electronics applications, including DAB. …”
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  18. 18
    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail

    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail by Sh. Ismail, Faridah

    Published 2015
    “…An intelligent predictive model will replace the lengthy procedures by predicting the properties using known fiberboard characteristics. Back-propagation algorithm is a training method widely used in a multilayer perceptron Neural Network model. …”
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  19. 19
    Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network

    Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network by Mohamad Afiq, Mohd Asrul

    Published 2023
    “…The review of optimization studies in the literature contributes to the development of a flowchart of an advanced optimization strategy that serves as a guide for the methodology of the study. …”
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  20. 20
    Performance Modeling And Size Optimization Of A Standalone Photovoltaic System

    Performance Modeling And Size Optimization Of A Standalone Photovoltaic System by Abdul Qayoom, Jakhrani

    Published 2013
    “…Furthermore, a novel analytical size optimization method was formulated involving load demand on the basis of power reliability and system cost. …”
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