Recent Metaheuristics Algorithms for Parameter Identification

Recent Metaheuristics Algorithms for Parameter Identification

EnglishHardbackPrint on demand
Cuevas Erik
Springer, Berlin
EAN: 9783030289164
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Detailed information

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.
EAN 9783030289164
ISBN 3030289168
Binding Hardback
Publisher Springer, Berlin
Publication date September 20, 2019
Pages 297
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Avalos, Omar; Cuevas Erik; Galvez, Jorge
Illustrations XIV, 297 p.
Edition 2020 ed.
Series Studies in Computational Intelligence
Manufacturer information
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