[Opt-Net] New SPRINGER book METAHEURISTICS FOR MACHINE LEARNING by Mansour Eddaly, Bassem Jarboui and Patrick Siarry (Eds)

[Patrick Siarry]

METAHEURISTICS FOR MACHINE LEARNING
New Advances and Tools

Mansour Eddaly, Bassem Jarboui & Patrick Siarry (Eds)
SPRINGER, ISBN 978-981-19-3888-7, March 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.

Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.

The content of the book will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.
https://link.springer.com/book/10.1007/978-981-19-3888-7


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