Recent Metaheuristics Algorithms for Parameter Identification

Name: Recent Metaheuristics Algorithms for Parameter Identification
Brand: Springer Nature Switzerland AG
SKU: 9783030289164
Price: 2286 CZK
Availability: InStock

Autor: Erik Cuevas, Jorge Gálvez, Omar Avalos

Jazyk:

Vazba: Pevná

Vydavatel: Springer Nature Switzerland AG

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

2 286 Kč

This book presents new, alternative metaheuristic developments that have proved to be effective in v...

Informace o knize

Autor

Erik Cuevas, Jorge Gálvez, Omar Avalos

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2019

Stránek

297

EAN

9783030289164

Enbook ID

24519497

Vydavatel

Springer Nature Switzerland AG

Hmotnost

635

Rozměry

155 x 235 x 22

Kompletní popis

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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Recent Metaheuristics Algorithms for Parameter Identification

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