Machine Learning and Metaheuristic Computation

Machine Learning and Metaheuristic Computation

Erik Cuevas , Jorge Gálvez , Omar Avalos
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2024 · Anglais · Relié · 2 éditions
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Description

This insightful work delves into the intersection of machine learning and metaheuristic computation, showcasing innovative strategies for solving complex optimization problems. The authors, experts in their respective fields, guide readers through various methodologies, highlighting how the synergy between these two areas can enhance problem-solving capabilities.

Through a blend of theoretical foundations and practical applications, the book equips readers with the knowledge necessary to effectively implement these techniques in real-world scenarios. It's an essential resource for researchers and practitioners looking to expand their understanding of advanced computational strategies.

Détails du livre

Format Relié
Pages 432 pages
Langue Anglais
Publié nov. 27, 2024
Éditeur Wiley-IEEE Press
Éditions 2 éditions
ISBN-10 139422964X
ISBN-13 9781394229642
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