Recent Metaheuristics Algorithms for Parameter Identification: 854 - Rilegato

Cuevas, Erik; Glvez, Jorge; Avalos, Omar

 
9783030289164: Recent Metaheuristics Algorithms for Parameter Identification: 854
Rilegato
ISBN 10: 3030289168 ISBN 13: 9783030289164
Casa editrice: Springer-Nature New York Inc, 2019

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2019
Lingua
Inglese
ISBN 10 
3030289168
ISBN 13 
9783030289164
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
312
Contatto del produttore
non disponibile
Persona responsabile
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Germania

Altre edizioni note dello stesso titolo

9783030289195: Recent Metaheuristics Algorithms for Parameter Identification: 854

Edizione in evidenza

ISBN 10:  3030289192 ISBN 13:  9783030289195
Casa editrice: Springer, 2020
Brossura