Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Paperback)

Language: English

Published by Springer Nature Switzerland AG, Cham, 2026

3030990818 / 9783030990817

Series: Book 526 of 538 - Studies in Computational Intelligence

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Paperback. 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. This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Title
Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Paperback)
Author
Essam Halim Houssein
Publisher
Springer Nature Switzerland AG, Cham
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
3030990818
ISBN 13
9783030990817
Series
Book 526 of 538: Studies in Computational Intelligence

CitiRetail

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