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Titlebook: Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems; Essam Halim Houssein,Mohamed Abd Elaziz,Laith Abua

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發(fā)表于 2025-3-21 16:36:08 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
編輯Essam Halim Houssein,Mohamed Abd Elaziz,Laith Abua
視頻videohttp://file.papertrans.cn/469/468738/468738.mp4
概述Presents recent research on Integrating Meta-heuristics and Machine Learning for real-world Optimization Problems.Brings together outstanding research and recent developments in metaheuristics, Machin
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems;  Essam Halim Houssein,Mohamed Abd Elaziz,Laith Abua
描述.This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.?.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities...?.
出版日期Book 2022
關鍵詞Computational Intelligence; Nature Language Processing; Arabic Language Processing; Swarm Optimization;
版次1
doihttps://doi.org/10.1007/978-3-030-99079-4
isbn_softcover978-3-030-99081-7
isbn_ebook978-3-030-99079-4Series 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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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems978-3-030-99079-4Series ISSN 1860-949X Series E-ISSN 1860-9503
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發(fā)表于 2025-3-22 07:28:43 | 只看該作者
Essam Halim Houssein,Mohamed Abd Elaziz,Laith AbuaPresents recent research on Integrating Meta-heuristics and Machine Learning for real-world Optimization Problems.Brings together outstanding research and recent developments in metaheuristics, Machin
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Combined Optimization Algorithms for Incorporating DG in Distribution Systems,rom results, installing multiple DG achieves better results than installing one DG in RDS. Also, the presented algorithms proved their effectively to obtain the best sizes and locations of DG that lead to better reduction in system losses than other efficient algorithms.
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