Search Results - (( intelligence based group algorithm ) OR ( intelligence based m algorithm ))

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    Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques by Vasant, P.M., Rahman, I., Singh, B.S.M., Abdullah-Al-Wadud, M.

    Published 2016
    “…The outcome of this research study provides four optimization techniques that include Hybrid method within swarm intelligence group for the State-of-Charge (SoC) optimization of PHEVs. …”
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    Article
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    Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques by Vasant, P.M., Rahman, I., Singh, B.S.M., Abdullah-Al-Wadud, M.

    Published 2016
    “…The outcome of this research study provides four optimization techniques that include Hybrid method within swarm intelligence group for the State-of-Charge (SoC) optimization of PHEVs. …”
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    Article
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    Committee neural networks with fuzzy genetic algorithm. by Jafari , S.A., Mashohor , Syamsiah, Varnamkhasti, M. Jalali

    Published 2011
    “…Combining numerous appropriate experts can improve the generalization performance of the group when compared to a single network alone. There are different ways of combining the intelligent systems' outputs in the combiner in the committee neural network, such as simple averaging, gating network, stacking, support vector machine, and genetic algorithm. …”
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    Data mining of protein sequences with amino acid position-based feature encoding technique by Iqbal, M.J., Faye, I., Md Said, A., Samir, B.B.

    Published 2014
    “…The accurate classification of protein sequences into family/superfamily based on the primary sequence is a very complex and open problem. …”
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    A flowchart-based multi-agent system for assisting novice programmers with problem solving activities by Hooshyar D., Ahmad R.B., Raj R.G., Nizam M.H.N.M., Yousefi M., Horng S.-J., Rugelj J.

    Published 2023
    “…Therefore, using FMAS in practice is supported, as the results indicate considerable gains for the experimental group over the control group. The results also show that an automatic text-to-flowchart conversion approach applied in FMAS successfully motivated nearly all participants in problem solving activities. …”
    Article
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    A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…We propose a new reinforced active learning strategy based on a deep reinforcement learning algorithm. …”
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    A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques by Abdulkareem, Karrar Hameed

    Published 2020
    “…A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques by Abdulkareem, Karrar Hameed …”
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    Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm by Mohammed, Zahraa Abdulkareem

    Published 2017
    “…This work is aimed to decrease the total real and reactive power losses while enhancing the voltage profile of the distribution network with less computation time by proposing two new artificial intelligence algorithms, i.e. grouping particle swarm optimization algorithm and grouping genetic algorithm. …”
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