GPU-based Parallel Implementation of Swarm Intelligence Algorithms
by
Ying Tan
Book Details
Format
Paperback / Softback
ISBN-10
0128093625
ISBN-13
9780128093627
Publisher
Elsevier Science & Technology
Imprint
Morgan Kaufmann Publishers In
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Mar 31st, 2016
Print length
256 Pages
Weight
530 grams
Dimensions
19.30 x 23.50 x 1.60 cms
Ksh 12,400.00
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GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone. This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research.
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