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  • Nature-Inspired Optimizers: Theories, Literature Reviews and Applications

    Author(s)
    Mirjalili, Seyedali
    Dong, Jin Song
    Lewis, Andrew
    Griffith University Author(s)
    Mirjalili, Seyedali
    Dong, Jin-Song
    Lewis, Andrew J.
    Year published
    2020
    Metadata
    Show full item record
    Abstract
    This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as ...
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    This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.
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    DOI
    https://doi.org/10.1007/978-3-030-12127-3
    Subject
    Artificial Intelligence and Image Processing
    Publication URI
    http://hdl.handle.net/10072/398998
    Collection
    • Books

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