Integrating meta-heuristics and machine learning for real-world optimization problems / Essam H. Houssein, Mohamed Abd Elaziz, Diego Oliva, Laith Abualigah, editors.
Houssein, Essam H., editor.; Abd Elaziz, Mohamed, editor.; Oliva, Diego, editor.; Abualigah, Laith, editor.
2022
QA76.9.A43
Available Online

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Title Integrating meta-heuristics and machine learning for real-world optimization problems / Essam H. Houssein, Mohamed Abd Elaziz, Diego Oliva, Laith Abualigah, editors.
ISBN 9783030990794 (electronic bk.)
3030990796 (electronic bk.)
9783030990787
3030990788
DOI https://doi.org/10.1007/978-3-030-99079-4
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (chiefly color).
Other Standard Identifiers 10.1007/978-3-030-99079-4 doi
Call Number QA76.9.A43
Dewey Decimal Classification 005.1
Summary 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 can be helpful for research from the evolutionary computation, artificial intelligence communities.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Houssein, Essam H., editor.
Abd Elaziz, Mohamed, editor.
Oliva, Diego, editor.
Abualigah, Laith, editor.
Series Studies in computational intelligence ; v. 1038
Available in Other Form Integrating meta-heuristics and machine learning for real-world optimization problems.
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