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Recent Metaheuristics Algorithms for Parameter Identification (Hardcover, 1st ed. 2020) Loot Price: R2,909
Discovery Miles 29 090
Recent Metaheuristics Algorithms for Parameter Identification (Hardcover, 1st ed. 2020): Erik Cuevas, Jorge Galvez, Omar Avalos

Recent Metaheuristics Algorithms for Parameter Identification (Hardcover, 1st ed. 2020)

Erik Cuevas, Jorge Galvez, Omar Avalos

Series: Studies in Computational Intelligence, 854

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Loot Price R2,909 Discovery Miles 29 090 | Repayment Terms: R273 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Computational Intelligence, 854
Release date: September 2019
First published: 2020
Authors: Erik Cuevas • Jorge Galvez • Omar Avalos
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 297
Edition: 1st ed. 2020
ISBN-13: 978-3-03-028916-4
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-028916-8
Barcode: 9783030289164

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