Metaheuristics in Machine Learning: Theory and Applications /

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Diff...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Oliva, Diego (Editor), Houssein, Essam H. (Editor), Hinojosa, Salvador (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Studies in Computational Intelligence, 967
Subjects:	Computational intelligence. Machine learning. Computational Intelligence. Machine Learning. Electronic books.
Online Access:	Connect to the full text of this electronic book