Search Results - (( does solution using algorithm ) OR ( parameter optimization _ algorithm ))

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  1. 1

    A modified technique in RFID networking planning and optimization by Nawawi, Azli

    Published 2015
    “…In this research, PSO algorithm was used in the optimization process as it was considered as a very useful, efficient and well known algorithm. …”
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    Thesis
  2. 2

    Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA) by Mohiuddin, A. K. M., Ashour, Ahmed Aly Ibrahim Shaaban, Yap, Haw Shin

    Published 2008
    “…The GT-Power model is run simultaneously with mode Frontier to perform multi-objective optimization. Multi-objective Genetic Algorithms (MOGA) are an extension of Genetic Algorithms (GA) that does not require multiple objectives to be aggregated to one value. …”
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    Proceeding Paper
  3. 3

    Adopting Jaya Algorithm for Team Formation Problem by Kader, Md. Abdul, Kamal Z., Zamli

    Published 2020
    “…To evaluate the efficiency of the Jaya Algorithm (JA) against another metaheuristic algorithm, Sine-Cosine Algorithm (SCA), both algorithms are tested and assessed for the TF problem solution using an ACM dataset containing experts and their skills. …”
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    Conference or Workshop Item
  4. 4

    Genetic algorithm to optimize routing problem modelled as the travelling salesman problem by Muhammad Azrul Faiz , Nor Adzmi

    Published 2013
    “…GA is following the ideas of "survival of the fittest" which meant better and better solution evolves from previous generations until a near optimal solution is obtained. …”
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    Undergraduates Project Papers
  5. 5

    Multi-objective pareto ant colony system based algorithm for generator maintenance scheduling by Shimailawi, Shatha Abdulhadi Muthana

    Published 2022
    “…The proposed models and algorithm can be used to solve the multi-objective GMS problem while the new parameters’ values can be used to obtain optimal or near optimal maintenance scheduling of generators. …”
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    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

    Published 2024
    “…While the firefly algorithm solution is superior, it has a higher time complexity compared to other algorithms used when there are more hidden layers and neurons. …”
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    Thesis
  9. 9

    Minimizing total production cost in hybrid flow shop scheduling using taguchi enhanced particle swarm optimization algorithm by Wasif, Ullah, Mohd Fadzil Faisae, Ab Rashid, Muhammad Ammar, Nik Mu’tasim, G. Tejani, Ghanshyam

    Published 2025
    “…This study uses metaheuristic optimization algorithms to minimize the total production cost (TPC) in a hybrid flow shop scheduling (HFS) environment. …”
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    Article
  10. 10

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

    Published 2013
    “…The PSO algorithm has been used in several other applications such as the Brushless DC motor and in the Control Ball & Beam system. …”
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    Final Year Project
  11. 11

    Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales by Julirose , Gonzales

    Published 2018
    “…The results using the proposed methodology yields 50 pareto optimal design solutions for every run, allowing the designers the freedom to choose the suitable design. …”
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    Thesis
  12. 12

    A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites by Din, Fakhrud

    Published 2019
    “…Owing to its proven performance in many other optimization problems, the adoption of the parameter-free Teaching Learning-based Optimization (TLBO) algorithm as a new t-way strategy is deemed useful. …”
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    Thesis
  13. 13

    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
    “…The PSO algorithm has been used in several other applications such as the Brushless DC motor and in the Control Ball Beam system. …”
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    Conference or Workshop Item
  14. 14

    Design-point performance adaptation of small gas turbine using particle swarm optimization by Machmudah, A., Lemma, T.A.

    Published 2020
    “…This paper employs meta-heuristic optimizations, namely genetic algorithm (GA), particle swarm optimization (PSO), gray wolf optimizer (GWO), and whale optimizer algorithm (WOA) to solve the design-point adaptation of a small gas turbine designed for marine applications. …”
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    Article
  15. 15

    Design-point performance adaptation of small gas turbine using particle swarm optimization by Machmudah, A., Lemma, T.A.

    Published 2020
    “…This paper employs meta-heuristic optimizations, namely genetic algorithm (GA), particle swarm optimization (PSO), gray wolf optimizer (GWO), and whale optimizer algorithm (WOA) to solve the design-point adaptation of a small gas turbine designed for marine applications. …”
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    Article
  16. 16

    PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah by Abdullah, Siti Muniroh

    Published 2017
    “…Typically, parameter estimation is performed using various types of Least Squares (LS) algorithms due to its stable and efficient numerical computation. …”
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    Thesis
  17. 17

    New synchronization protocol for distributed system with TCP extension by Bayat, Peyman

    Published 2013
    “…The resulting algorithm does not involve variability in the hardware type nor is it based on specific distributed application software or databases. …”
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    Thesis
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    Optimizing LSTM S2S models with Evolutionary Mating Algorithm (EMA) for direct multi-step forecasting of household electrical power consumption by Al Mamun, Md Habib, Zuriani, Mustaffa, Junaida, Sulaiman, Mohd Herwan, Sulaiman

    Published 2026
    “…EMA successfully identifies optimal parameters, and EMA-optimized model achieved a significant improvement in accuracy over to baseline methods. …”
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    Conference or Workshop Item
  20. 20

    Analysis and decentralised optimal flow control of heterogeneous computer communication network models by Ku-Mahamud, Ku Ruhana

    Published 1993
    “…A new method of general model reduction using the Norton' s theorem for general queueing networks in conjunction with the universal maximum entropy algorithm is proposed for the analysis of xix large general closed queueing networks. …”
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    Thesis