Recent Metaheuristics Algorithms for Parameter Identification
2020 ed.
Book Details
Format
Paperback / softback
Book Series
Studies in Computational Intelligence
ISBN-10
3030289192
ISBN-13
9783030289195
Edition
2020 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 20th, 2020
Print length
297 Pages
Product Classification:
Artificial intelligenceArtificial intelligence (AI)
KSh 16,200.00
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This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems.
This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by explaining basic ideas of the proposed applications in ways that can be understood by readers new to these fields. As such it is a valuable resource for energy practitioners who are not researchers in metaheuristics. In addition, it offers members of the metaheuristic community insights into how system identification and energy problems can be translated into optimization tasks.
Get Recent Metaheuristics Algorithms for Parameter Identification by Erik Cuevas, Jorge Galvez at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has 297 pages.
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