书目名称 | Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems |
编辑 | Essam Halim Houssein,Mohamed Abd Elaziz,Laith Abua |
视频video | http://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 |
丛书名称 | Studies in Computational Intelligence |
图书封面 |  |
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 |
关键词 | Computational Intelligence; Nature Language Processing; Arabic Language Processing; Swarm Optimization; |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-99079-4 |
isbn_softcover | 978-3-030-99081-7 |
isbn_ebook | 978-3-030-99079-4Series ISSN 1860-949X Series E-ISSN 1860-9503 |
issn_series | 1860-949X |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |