Search Results - (( variable step a algorithm ) OR ( java application optimization algorithm ))

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    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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    Conference or Workshop Item
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    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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    Final Year Project
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    Variable order step size method for solving orbital problems with periodic solutions by Rasedee, A. F. N., Jamaludin, N. A., Najib, N., Abdul Sathar, Mohammad Hasan, Wong, Tze Jin, Koo, Lee Feng

    Published 2022
    “…In this study, a variable order step size is presented for direct solving higher-order orbital equations. …”
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    Article
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    Numerical algorithm of block method for general second order ODEs using variable step size by Nazreen Waeleh, Zanariah Abdul Majid

    Published 2017
    “…Consequently, a direct block multistep method with utilization of variable step size strategy is proposed. …”
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    Article
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    Variable order step size method for solving orbital problems with periodic solutions by Ahmad Fadly Nurullah Rasedee, Nur Amalina Jamaludin, Najwa Najib, Mohamad Hasan Abdul Sathar, Wong Tze Jin, Koo Lee Feng

    Published 2024
    “…In this study, a variable order step size is presented for direct solving higher-order orbital equations. …”
    journal::journal article
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    Variable order step size algorithm for solving second order ODEs by Rasedee, Ahmad Fadly Nurullah, Abdul Sathar, Mohamad Hassan, Wong, Tze Ji, Koo, Lee Feng

    Published 2019
    “…The proposed method will also be equipped with a variable order step size algorithm to reduce computational cost (calculation time). …”
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    Book Section
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    Numerical algorithm of block method for general second order ODEs using variable step size by Waeleh, Nazreen, Abdul Majid, Zanariah

    Published 2017
    “…Consequently, a direct block multistep method with utilization of variable step size strategy is proposed. …”
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    Article
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    Variable step-size hill-climbing search (VS-HCS) MPPT algorithm for hydrokinetic energy harnessing by Wan Ismail, Ibrahim, Nasiruddin, Sadan, Noor Lina, Ramli, Mohd Riduwan, Ghazali, Ilham, Fuad

    Published 2025
    “…In this paper, the Variable-Step Hill Climbing Search (VS-HCS) MPPT algorithm is proposed to solve the limitation of the conventional HCS MPPT. …”
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    Article
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    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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    Thesis
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    An improved electromagnetism-like mechanism algorithm for the optimization of maximum power point tracking / Tan Jian Ding by Tan, Jian Ding

    Published 2017
    “…The Electromagnetism-Like Mechanism algorithm (EM) is a meta-heuristic algorithm designed to search for global optimum solutions using bounded variables. …”
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    Thesis
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    Widely linear dynamic quaternion valued least mean square algorithm for linear filtering by Mohammed, Aldulaimi Haydar Imad

    Published 2017
    “…The new adaptive algorithm is called dynamic quaternion least mean square algorithm (DQLMS) because of the normalization process of the filter input and the variable step-size. …”
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    Thesis
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    Algorithmic approaches in model selection of the air passengers flows data by Ismail, Suzilah, Yusof, Norhayati, Tuan Muda, Tuan Zalizam

    Published 2015
    “…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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    Conference or Workshop Item