Recent Metaheuristics Algorithms for Parameter Identification

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Recent Metaheuristics Algorithms for Parameter Identification by Erik Cuevas, Jorge Gálvez, Omar Avalos, Springer International Publishing
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Author: Erik Cuevas, Jorge Gálvez, Omar Avalos ISBN: 9783030289171
Publisher: Springer International Publishing Publication: September 3, 2019
Imprint: Springer Language: English
Author: Erik Cuevas, Jorge Gálvez, Omar Avalos
ISBN: 9783030289171
Publisher: Springer International Publishing
Publication: September 3, 2019
Imprint: Springer
Language: English

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.

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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. 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.

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