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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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发表于 2025-3-21 16:17:20 | 显示全部楼层 |阅读模式
书目名称Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis
编辑Erik Cuevas,Alberto Luque,Beatriz Rivera
视频video
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
丛书名称Studies in Computational Intelligence
图书封面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
关键词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
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发表于 2025-3-21 21:19:06 | 显示全部楼层
发表于 2025-3-22 03:53:48 | 显示全部楼层
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
发表于 2025-3-22 05:30:36 | 显示全部楼层
发表于 2025-3-22 11:26:45 | 显示全部楼层
发表于 2025-3-22 13:46:17 | 显示全部楼层
https://doi.org/10.1007/978-3-031-63053-8Computational Intelligence; Metaheuristics; Metaheuristic methods,; Analysis; Optimization
发表于 2025-3-22 19:00:56 | 显示全部楼层
发表于 2025-3-22 23:26:44 | 显示全部楼层
Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis978-3-031-63053-8Series ISSN 1860-949X Series E-ISSN 1860-9503
发表于 2025-3-23 05:13:16 | 显示全部楼层
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
发表于 2025-3-23 09:22:59 | 显示全部楼层
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