Search Results - (( intelligence based flow algorithm ) OR ( intelligence a new algorithm ))

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    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

    Published 2017
    “…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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    Thesis
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    A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution by Warid, Warid, Hizam, Hashim, Mariun, Norman, Abdul Wahab, Noor Izzri

    Published 2018
    “…An intelligence strategy called quasi-oppositional based learning is incorporated into the proposed algorithm to enhance its convergence property, exploration capability, and solution optimality. …”
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    Article
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    INTELLIGENT OPTIMIZATION OF INTERLINE POWER FLOW CONTROLLER IN TRANSMISSION SYSTEM by MOHAMED ABDELGADIR, KHALID HAROUN

    Published 2010
    “…Flexible AC Transmission system (FACTS) controllers are widely accepted worldwide to provide benefits in increasing power transfer capability and maximizeing the use of the existing transmission networks. A new generation of FACTS controllers, particularly the Interline Power Flow Controller (IPFC) based on voltage source converter (VSC) provides fast power flow control flexibility. …”
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    Thesis
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    Urban connected vehicle lane planning based on improved Frank Wolfe algorithm by Anqi, Jiang, Faziawati, Abdul Aziz, Norsidah, Ujang, Mohd Afzan, Mohamed

    Published 2025
    “…The proposed improved Frank Wolfe algorithm can converge at around 30 iterations, with a convergence limit of around 10-4, which is superior to the traditional Frank Wolfe algorithm. …”
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    Article
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    Video surveillance: explosion detection by Lee, Shao Yuan

    Published 2025
    “…Hence, this study proposes to embed computer vision and advanced image processing algorithms, such as Motion History Images (MHI) and Motion Energy Images (MEI), into the intelligent explosion detection video surveillance system. …”
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    Final Year Project / Dissertation / Thesis
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    Empirical modeling of hydrate formation prediction in deepwater pipelines by Hashim, F.M., Abbasi, A.

    Published 2016
    “…This model is based on temperature and pressure conditions. The correlations between temperature and pressure are developed by using MATLAB software and then optimize with optimization techniques, such as genetic algorithm and particle swarm optimization. …”
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    Article
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