Recent Metaheuristics Algorithms for Parameter Identification / Studies in Computational Intelligence Bd.854 (PDF)
(Sprache: Englisch)
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...
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Produktinformationen zu „Recent Metaheuristics Algorithms for Parameter Identification / Studies in Computational Intelligence Bd.854 (PDF)“
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.
Bibliographische Angaben
- Autoren: Erik Cuevas , Jorge Gálvez , Omar Avalos
- 2019, 1st ed. 2020, 297 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030289176
- ISBN-13: 9783030289171
- Erscheinungsdatum: 03.09.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 10 MB
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Sprache:
Englisch
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