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Titlebook: New Metaheuristic Schemes: Mechanisms and Applications; Erik Cuevas,Daniel Zaldívar,Marco Pérez-Cisneros Book 2024 The Editor(s) (if appli

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發(fā)表于 2025-3-21 19:05:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱New Metaheuristic Schemes: Mechanisms and Applications
編輯Erik Cuevas,Daniel Zaldívar,Marco Pérez-Cisneros
視頻videohttp://file.papertrans.cn/666/665473/665473.mp4
概述Considers different new metaheuristic methods and practical applications.Presents new alternative metaheuristic developments effective in their application to several complex problems.Bridges the gap
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: New Metaheuristic Schemes: Mechanisms and Applications;  Erik Cuevas,Daniel Zaldívar,Marco Pérez-Cisneros Book 2024 The Editor(s) (if appli
描述Recently, novel metaheuristic techniques have emerged in response to the limitations of conventional approaches, leading to enhanced outcomes. These new methods introduce interesting mechanisms and innovative collaborative strategies that facilitate the efficient exploration and exploitation of extensive search spaces characterized by numerous dimensions. The objective of this book is to present advancements that discuss novel alternative metaheuristic developments that have demonstrated their effectiveness in tackling various complex problems. This book encompasses a variety of emerging metaheuristic methods and their practical applications. The content is presented from a teaching perspective, making it particularly suitable for undergraduate and postgraduate students in fields such as science, electrical engineering, and computational mathematics. The book aligns well with courses in artificial intelligence, electrical engineering, and evolutionary computation. Furthermore, the material offers valuable insights to researchers within the metaheuristic and engineering communities. Similarly, engineering practitioners unfamiliar with metaheuristic computation concepts will recogniz
出版日期Book 2024
關(guān)鍵詞AI; Swarm intelligence; Metaheuristic; Computational Intelligence; Evolutionary Computation
版次1
doihttps://doi.org/10.1007/978-3-031-45561-2
isbn_softcover978-3-031-45563-6
isbn_ebook978-3-031-45561-2Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
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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Dynamic Multimodal Function Optimization: An Evolutionary-Mean Shift Approach,they fall short in identifying multiple optimal solutions. The primary objective of dynamic multimodal optimization is to identify several optimal solutions for a problem where the objective function changes over time. The discovery of multiple optimal solutions, both global and local, holds signifi
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Efficient Image Contrast Enhancement by Using the Moth Swarm Algorithm,ance the quality of visual information in processed images. However, the presence of noise and small pixel sets in images not only hampers their visualization but also hinders the effectiveness of ICE algorithms. The inclusion of irrelevant information disrupts the appropriate distribution of signif
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Erik Cuevas,Daniel Zaldívar,Marco Pérez-Cisnerostriebswirtschaftlichen Verst?ndnisses befasst sich Kap.?9 mit der Entwicklung einer betriebswirtschaftlichen Konzeption..Zun?chst werden die Grundlagen der Steuer-Konzeption in einem einfachen Ausgangsmodell dargestellt und Steuerstrategie im erweiterten Sinne bestimmt. An die Erl?uterungen anhand d
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Erik Cuevas,Daniel Zaldívar,Marco Pérez-Cisnerosbe gro?e Bedeutung zu, sondern auch in Zeiten mit (relativ) stabilem Geldwert. Aber auch selbst bei absoluter Geldwertstabilit?t bedeutet die von der nominalen Verrechnungsweise bewirkte Kapitalerhaltung nicht unbedingt Substanzerhaltung. Die Substanz einer Unternehmung oder eines Betriebes kann ers
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