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    Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

    New search for: Rai, Rebika
    New search for: Das, Arunita
    New search for: Ray, Swarnajit
    New search for: Dhal, Krishna Gopal

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    Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

    New search for: Rai, Rebika
    New search for: Das, Arunita
    New search for: Ray, Swarnajit
    New search for: Dhal, Krishna Gopal

    Access

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    Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

    New search for: Rai, Rebika
    New search for: Das, Arunita
    New search for: Ray, Swarnajit
    New search for: Dhal, Krishna Gopal

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    Title:

    Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

    Additional title:

    Arch Computat Methods Eng

    Contributors:

    Rai, Rebika (author) / Das, Arunita (author) / Ray, Swarnajit (author) / Dhal, Krishna Gopal (author)

    Published in:

    Archives of Computational Methods in Engineering ; 29 ; 5313-5352

    Publication date:

    2022-11-01

    ISSN:

    1886-1784

    DOI:

    https://doi.org/10.1007/s11831-022-09766-z

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

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