Search Results - (( parameter solution via algorithm ) OR ( parameter optimization based algorithm ))

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  1. 1
    Artificial neural networks based optimization techniques: A review

    Artificial neural networks based optimization techniques: A review by Abdolrasol M.G.M., Suhail Hussain S.M., Ustun T.S., Sarker M.R., Hannan M.A., Mohamed R., Ali J.A., Mekhilef S., Milad A.

    Published 2023
    “…This paper emphasizes enhancing the neural network via optimization algorithms by manipulating its tuned parameters or training parameters to obtain the best structure network pattern to dissolve the problems in the best way. …”
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  2. 2
    Fuzzy adaptive emperor penguin optimizer for global optimization problems

    Fuzzy adaptive emperor penguin optimizer for global optimization problems by Md Abdul, Kader

    Published 2023
    “…The Emperor Penguin Optimizer (EPO) is a recently developed population-based metaheuristic algorithm that simulates the huddling behaviour of emperor penguins. …”
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  3. 3
    Testing of linear models for optimal control of second-order dynamical system based on model-reality differences

    Testing of linear models for optimal control of second-order dynamical system based on model-reality differences by Kek, Sie Long, Sim, Sy Yi, Chen, Chuei Yee

    Published 2021
    “…During the calculation procedure, the conjugate gradient algorithm is employed to solve the optimization problem, in turn, to update the adjusted parameters repeatedly for obtaining the optimal solution of the model used. …”
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  4. 4
    Sensitivity analysis on the model input parameters of flapping wing kinematics for optimum level flight via particle swarming optimization

    Sensitivity analysis on the model input parameters of flapping wing kinematics for optimum level flight via particle swarming optimization by Abdul Hamid, Mohd Faisal

    Published 2018
    “…A systematic iterative process-population-based stochastic algorithm, known as particle swarming optimization, is used. …”
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  5. 5
    TUNING A THREE-PHASE SEPARATOR LEVEL CONTROLLER VIA PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM

    TUNING A THREE-PHASE SEPARATOR LEVEL CONTROLLER VIA PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM by SATHASIVAM, LUVENRAJ

    Published 2013
    “…In our case, the global best position is replaced with the optimized PID tuning parameters for the separator. …”
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    Final Year Project
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  6. 6
    Tackling the berth allocation problem via harmony search algorithm

    Tackling the berth allocation problem via harmony search algorithm by Ahmed, Bilal, Hamdan, Hazlina, Muhammed, Abdullah, Husin, Nor Azura

    Published 2024
    “…Harmony Search Algorithm (HSA) is one of the recent population-based optimization methods which inspired by modern-nature. …”
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  7. 7
    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy

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

    Published 2024
    “…The evaluation process employs the Hypervolume (HV) indicator and Inverted Generational Distance (IGD) to scrutinize solution efficacy and coverage. 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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  8. 8
    Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm

    Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm by Sathasivam, L., Elamvazuthi, I., Khan, M.K.A.A., Parasuraman, S.

    Published 2019
    “…In our case, the global best position is replaced with the optimized PID tuning parameters for the separator. …”
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  9. 9
    An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem

    An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem by Kader, Md. Abdul, Zamli, Kamal Z., Alkazemi, Basem Yousef

    Published 2022
    “…Emperor Penguin Optimizer (EPO) is a recently developed population-based meta-heuristic algorithm that simulates the huddling behavior of emperor penguins. …”
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  10. 10
    Optimised multi-robot path planning via smooth trajectory generation

    Optimised multi-robot path planning via smooth trajectory generation by Loke, Zhi Yu

    Published 2024
    “…Particle swarm optimization (PSO) outperforms conventional methods like artificial potential fields (APF), the Dijkstra algorithm, and the A* algorithm in path planning for mobile robots. …”
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  11. 11
    Wireless sensor nodes deployment using multi-robot based on improved spanning tree algorithm

    Wireless sensor nodes deployment using multi-robot based on improved spanning tree algorithm by Arezoumand, Reza

    Published 2015
    “…Developing an exploration algorithm based on spanning tree is the main contribution. …”
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  12. 12
    OFF-GRID SOLAR PHOTOVOLTAIC (PV) DESIGN BASED ON FUZZY TECHNIQUE FOR ORDER PERFORMANCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) APPROACH

    OFF-GRID SOLAR PHOTOVOLTAIC (PV) DESIGN BASED ON FUZZY TECHNIQUE FOR ORDER PERFORMANCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) APPROACH by NUR AFIQAH, JAHILAN

    Published 2022
    “…Precisely, the fuzzy TOPSIS algorithm has selected the best configuration of PV system with financial optimization feature. …”
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    Final Year Project Report / IMRAD
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  13. 13
    Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN)

    Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN) by Khan T., Manan T.S.B., Isa M.H., Ghanim A.A.J., Beddu S., Jusoh H., Iqbal M.S., Ayele G.T., Jami M.S.

    Published 2023
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  14. 14
    Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey

    Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey by Ukasyah Mahamod, Ibraheem Shayea, Hafizal Mohamad, Marinah Othman, Fauzun Abdullah Asuhaimi

    Published 2024
    journal::journal article
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  15. 15
    Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN)

    Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN) by Khan, T., Manan, T.S.B., Isa, M.H., Ghanim, A.A.J., Beddu, S., Jusoh, H., Iqbal, M.S., Ayele, G.T., Jami, M.S.

    Published 2020
    “…This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. …”
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  16. 16
    An enhanced computational model based on social spider optimisation algorithm for EEG- based emotion recognition

    An enhanced computational model based on social spider optimisation algorithm for EEG- based emotion recognition by Al-Qammaz, Abdullah Yousef Awwad

    Published 2019
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  17. 17
    Machine learning‐based approach for bandwidth and frequency prediction of circular SIW antenna

    Machine learning‐based approach for bandwidth and frequency prediction of circular SIW antenna by Alam, Md Mahabub, Nurhafizah, Abu Talip Yusof, Ahmad Afif, Mohd Faudzi, Tomal, Md Raihanul Islam, Haque, Md Ershadul, Rahman, Md. Suaibur

    Published 2025
    “…A predictive ML framework was developed using six regression algorithms trained on significant geometrical parameters, such as ring slot radius, via diameter, and feedline width. …”
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  18. 18
    Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann)

    Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann) by Khan, Taimur, Abd Manan, Teh Sabariah, Hasnain Isa, Mohamed, A. J. Ghanim, Abdulnoor, Beddu, Salmia, Jusoh, Hisyam, Iqbal, Muhammad Shahid, Ayele, Gebiaw T, Jami, Mohammed Saedi

    Published 2020
    “…This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. …”
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  19. 19
    Workload performance evaluation of large spatial database for DSS based disaster management

    Workload performance evaluation of large spatial database for DSS based disaster management by Rohman, Muhammad Syaifur

    Published 2017
    “…Additionally, the results of the study indicated that the prediction model for workload performance evaluation using CBR that is optimized with Hash Search technique for determining workload data on Shortest Path analysis via the employment of Dijkstra algorithm can be useful for the prediction of incoming workload based on the status of the DBMS parameters. …”
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  20. 20
    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…The main idea is the integration of optimal control and parameter estimation. In this work, a simplified model-based optimal control model with adjustable parameters is constructed. …”
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