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Nature-Inspired Computation in Engineering (Hardcover, 1st ed. 2016)
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Nature-Inspired Computation in Engineering (Hardcover, 1st ed. 2016)
Series: Studies in Computational Intelligence, 637
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Total price: R3,596
Discovery Miles: 35 960
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This timely review book summarizes the state-of-the-art
developments in nature-inspired optimization algorithms and their
applications in engineering. Algorithms and topics include the
overview and history of nature-inspired algorithms, discrete
firefly algorithm, discrete cuckoo search, plant propagation
algorithm, parameter-free bat algorithm, gravitational search,
biogeography-based algorithm, differential evolution, particle
swarm optimization and others. Applications include vehicle
routing, swarming robots, discrete and combinatorial optimization,
clustering of wireless sensor networks, cell formation, economic
load dispatch, metamodeling, surrogated-assisted cooperative
co-evolution, data fitting and reverse engineering as well as other
case studies in engineering. This book will be an ideal reference
for researchers, lecturers, graduates and engineers who are
interested in nature-inspired computation, artificial intelligence
and computational intelligence. It can also serve as a reference
for relevant courses in computer science, artificial intelligence
and machine learning, natural computation, engineering optimization
and data mining.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
Studies in Computational Intelligence, 637 |
Release date: |
March 2016 |
First published: |
2016 |
Editors: |
Xin-She Yang
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Dimensions: |
235 x 155 x 18mm (L x W x T) |
Format: |
Hardcover
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Pages: |
276 |
Edition: |
1st ed. 2016 |
ISBN-13: |
978-3-319-30233-1 |
Categories: |
Books >
Computing & IT >
Applications of computing >
Artificial intelligence >
General
|
LSN: |
3-319-30233-7 |
Barcode: |
9783319302331 |
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