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Titlebook: Engineering Applications of Modern Metaheuristics; Taymaz Akan,Ahmed M. Anter,Diego Oliva Book 2023 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 16:06:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Engineering Applications of Modern Metaheuristics
編輯Taymaz Akan,Ahmed M. Anter,Diego Oliva
視頻videohttp://file.papertrans.cn/311/310703/310703.mp4
概述Provides the reader with the most representative optimization tools used for scientific and engineering problems.Explains the algorithms used, the selected problem, and the implementation.Provides pra
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Engineering Applications of Modern Metaheuristics; Taymaz Akan,Ahmed M. Anter,Diego Oliva Book 2023 The Editor(s) (if applicable) and The
描述.This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities..
出版日期Book 2023
關鍵詞Computational Intelligence; Metaheuristics; Optimization Algorithms; Swarm intelligence; Evolutionary al
版次1
doihttps://doi.org/10.1007/978-3-031-16832-1
isbn_softcover978-3-031-16834-5
isbn_ebook978-3-031-16832-1Series 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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