Metaheuristics in Machine Learning: Theory and Applications
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Metaheuristics in Machine Learning: Theory and Applications

SKU: 9783030705428

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Full Title

Metaheuristics in Machine Learning: Theory and Applications
Author(s)

Author
Edition
ISBN

9783030705428, 9783030705411
Publisher

Springer
Format

PDF and EPUB

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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