Metaheuristics in Machine Learning: Theory and Applications


Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence,967) 1st ed. 2021 Edition
by 作者: Diego Oliva,Essam H. Houssein,Salvador Hinojosa
Publisher Finelybook 出版社: ; 1st ed. 2021 edition (July 14,2021)
Language 语言: English
pages 页数: 783 pages
ISBN-10 书号: 3030705412
ISBN-13 书号: 9783030705411


Book Description
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. Different applications and implementations are included; 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 is useful in courses on Artificial Intelligence,Advanced Machine Learning,among others. Likewise,the book is useful for research from the evolutionary computation,artificial intelligence,and image processing communities.

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