Metaheuristics for Machine Learning - New Advances and Tools (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Computational Intelligence Methods and Applications
Release date:	March 2023
First published:	2023
Editors:	Mansour Eddaly • Bassem Jarboui • Patrick Siarry
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	223
Edition:	1st ed. 2023
ISBN-13:	978-981-19-3887-0
Categories:	Books
LSN:	981-19-3887-3
Barcode:	9789811938870

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