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Titlebook: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis; Erik Cuevas,Alberto Luque,Beatriz Rivera Book 2024 The Editor

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發(fā)表于 2025-3-21 16:17:20 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis
編輯Erik Cuevas,Alberto Luque,Beatriz Rivera
視頻videohttp://file.papertrans.cn/632/631345/631345.mp4
概述Presents and elucidates novel metaheuristic algorithms that feature innovative search mechanisms.Provides a foundational framework for assessing the performance of metaheuristic.Offers practical insig
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis;  Erik Cuevas,Alberto Luque,Beatriz Rivera Book 2024 The Editor
描述.This book encompasses three distinct yet interconnected objectives. Firstly, it aims to present and elucidate novel metaheuristic algorithms that feature innovative search mechanisms, setting them apart from conventional metaheuristic methods. Secondly, this book endeavors to systematically assess the performance of well-established algorithms across a spectrum of intricate and real-world problems. Finally, this book serves as a vital resource for the analysis and evaluation of metaheuristic algorithms. It provides a foundational framework for assessing their performance, particularly in terms of the balance between exploration and exploitation, as well as their capacity to obtain optimal solutions. Collectively, these objectives contribute to advancing our understanding of metaheuristic methods and their applicability in addressing diverse and demanding optimization tasks. The materials were compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Additionally, engineering practitioners who are not familiar with metaheuristic computation conce
出版日期Book 2024
關(guān)鍵詞Computational Intelligence; Metaheuristics; Metaheuristic methods,; Analysis; Optimization
版次1
doihttps://doi.org/10.1007/978-3-031-63053-8
isbn_softcover978-3-031-63055-2
isbn_ebook978-3-031-63053-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Erik Cuevas,Alberto Luque,Beatriz RiveraPresents and elucidates novel metaheuristic algorithms that feature innovative search mechanisms.Provides a foundational framework for assessing the performance of metaheuristic.Offers practical insig
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https://doi.org/10.1007/978-3-031-63053-8Computational Intelligence; Metaheuristics; Metaheuristic methods,; Analysis; Optimization
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Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis978-3-031-63053-8Series ISSN 1860-949X Series E-ISSN 1860-9503
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1860-949X ed for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Additionally, engineering practitioners who are not familiar with metaheuristic computation conce978-3-031-63055-2978-3-031-63053-8Series ISSN 1860-949X Series E-ISSN 1860-9503
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