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Titlebook: Nature-Inspired Algorithms and Applied Optimization; Xin-She Yang Book 2018 Springer International Publishing AG, part of Springer Nature

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發(fā)表于 2025-3-21 17:22:10 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nature-Inspired Algorithms and Applied Optimization
編輯Xin-She Yang
視頻videohttp://file.papertrans.cn/663/662064/662064.mp4
概述Reviews the state-of-the-art developments in nature-inspired algorithms and optimization.Presents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspir
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Nature-Inspired Algorithms and Applied Optimization;  Xin-She Yang Book 2018 Springer International Publishing AG, part of Springer Nature
描述.This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals..
出版日期Book 2018
關(guān)鍵詞Algorithm; Applied Optimization; Bio-inspired Computing; Bat Algorithm; Convergence Analysis; Cuckoo Sear
版次1
doihttps://doi.org/10.1007/978-3-319-67669-2
isbn_softcover978-3-319-88465-3
isbn_ebook978-3-319-67669-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Nature-Inspired Algorithms and Applied Optimization978-3-319-67669-2Series ISSN 1860-949X Series E-ISSN 1860-9503
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Studies in Computational Intelligencehttp://image.papertrans.cn/n/image/662064.jpg
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A Review of No Free Lunch Theorems, and Their Implications for Metaheuristic Optimisation,ous extensions including some which have not appeared in the literature so far. We then show that understanding the No Free Lunch theorems brings us to a position where we can ask about the specific dynamics of an optimisation algorithm, and how those dynamics relate to the properties of optimisation problems.
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A Comprehensive Review of the Flower Pollination Algorithm for Solving Engineering Problems,s are reviewed, and the applications include chemical engineering, civil engineering, energy and power systems, mechanical engineering, electronical and communication engineering, computer science and others. Further research topics are also outlined.
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發(fā)表于 2025-3-23 05:58:29 | 只看該作者
1860-949X ms and convergence analysis) and insights into nature-inspir.This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It intro
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