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Meta-heuristic Optimization Techniques - Applications in Engineering (Hardcover) Loot Price: R3,069
Discovery Miles 30 690
Repayment Terms: R288 pm x 12*
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Meta-heuristic Optimization Techniques - Applications in Engineering (Hardcover): Anuj Kumar, Sangeeta Pant, Mangey Ram, Om...

Meta-heuristic Optimization Techniques - Applications in Engineering (Hardcover)

Anuj Kumar, Sangeeta Pant, Mangey Ram, Om Yadav

Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences

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List price R3,332 Loot Price R3,069 Discovery Miles 30 690 | Repayment Terms: R288 pm x 12* You Save R263 (8%)

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This book offers a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature-inspired algorithms. Their wide applicability makes them a hot research topic and an effi cient tool for the solution of complex optimization problems in various fi elds of sciences, engineering, and in numerous industries.

General

Imprint: De Gruyter
Country of origin: Germany
Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences
Release date: 2022
First published: 2022
Editors: Anuj Kumar • Sangeeta Pant • Mangey Ram • Om Yadav
Dimensions: 240 x 170 x 19mm (L x W x T)
Format: Hardcover
Pages: 202
ISBN-13: 978-3-11-071617-7
Categories: Books > Science & Mathematics > Physics > General
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Science & Mathematics > Mathematics > Algebra > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 3-11-071617-8
Barcode: 9783110716177

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