Recent Metaheuristics Algorithms for Parameter Identification

Recent Metaheuristics Algorithms for Parameter Identification

AngličtinaEbook
Cuevas, Erik
Springer International Publishing
EAN: 9783030289171
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Podrobné informace

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 9783030289171
ISBN 3030289176
Typ produktu Ebook
Vydavatel Springer International Publishing
Datum vydání 3. září 2019
Jazyk English
Země Uruguay
Autoři Avalos, Omar; Cuevas, Erik; Galvez, Jorge
Série Studies in Computational Intelligence
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