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

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Essam Halim Houssein Mohamed Abd Elaziz

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

Name: Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Price: 261.21 AUD
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ISBN: 9783030990817

Essam Halim Houssein, Mohamed Abd Elaziz, Diego Oliva , Laith Abualigah

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Paperback

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English

Springer Nature Switzerland AG
12 March 2026

Machine learning

Series: Studies in Computational Intelligence

Summary
Details

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.

Edited by: Essam Halim Houssein, Mohamed Abd Elaziz, Diego Oliva, Laith Abualigah
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 2022 ed.
Volume: 1038
Dimensions: Height: 235mm, Width: 155mm,
Weight: 777g
ISBN: 9783030990817
ISBN 10: 3030990818
Series: Studies in Computational Intelligence
Pages: 497
Publication Date: 12 March 2026
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active