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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems: 1038 (Studies in Computational Intelligence, 1038) - Softcover
- PublisherSpringer
- Publication date2023
- ISBN 10 3030990818
- ISBN 13 9783030990817
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages506
- EditorHoussein Essam Halim, Abd Elaziz Mohamed, Oliva Diego, Abualigah Laith
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
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Springer International Publishing, 2023
ISBN 10: 3030990818
ISBN 13: 9783030990817
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (Studies in Computational Intelligence, 1038)
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
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Springer International Publishing, 2023
ISBN 10: 3030990818
ISBN 13: 9783030990817
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783030990817
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Published by
Springer International Publishing, 2023
ISBN 10: 3030990818
ISBN 13: 9783030990817
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
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Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3030990818
ISBN 13: 9783030990817
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . Seller Inventory # 873621164
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
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Springer International Publishing Jun 2023, 2023
ISBN 10: 3030990818
ISBN 13: 9783030990817
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 512 pp. Englisch. Seller Inventory # 9783030990817
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Published by
Springer International Publishing, 2023
ISBN 10: 3030990818
ISBN 13: 9783030990817
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783030990817
Quantity: 1 available
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems: 1038
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems: 1038
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems: 1038
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