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Books > Business & Economics > Business & management > Management & management techniques > Operational research

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Advanced Optimization by Nature-Inspired Algorithms (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R2,549
Discovery Miles 25 490
Repayment Terms: R239 pm x 12*
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Advanced Optimization by Nature-Inspired Algorithms (Paperback, Softcover reprint of the original 1st ed. 2018): Omid...

Advanced Optimization by Nature-Inspired Algorithms (Paperback, Softcover reprint of the original 1st ed. 2018)

Omid Bozorg-Haddad

Series: Studies in Computational Intelligence, 720

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Loot Price R2,549 Discovery Miles 25 490 | Repayment Terms: R239 pm x 12*

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This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Studies in Computational Intelligence, 720
Release date: December 2018
First published: 2018
Editors: Omid Bozorg-Haddad
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 159
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-981-13-5345-1
Categories: Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > General
LSN: 981-13-5345-X
Barcode: 9789811353451

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