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

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.

H | B | T | Gramm
235 mm | 155 mm | 28 mm | 0.768 kg

Erscheinungsjahr
2026

FSK
0

Ausgabe
Taschenbuch

Verlag
Springer

ISBN-10
3030990818

ISBN-13
9783030990817

Weitere Mitwirkende
Houssein, Essam Halim | Oliva, Diego | Abd Elaziz, Mohamed | Abualigah, Laith

Sprache
Englisch

Seitenanzahl
512

Themen
Maschinelles Lernen, Maschinelles Lernen

Verantwortliche Person gemäß Art. 16 GPSR
Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115, Heidelberg, DE, ProductSafety@springernature.com

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