Metaheuristics for Machine Learning: New Advances and Tools - Softcover

Softcover

ISBN 10: 981193889X ISBN 13: 9789811938894

Publisher: Springer, 2023

Synopsis

Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.

Edition details

• Publisher: Springer
• Publication date: 2023
• Language: English
• ISBN 10: 981193889X
• ISBN 13: 9789811938894
• Binding: Paperback
• Number of pages: 240
• Editor: Mansour Eddaly Eddaly, Bassem Jarboui Jarboui, Patrick Siarry Siarry