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2015 | OriginalPaper | Chapter

14. Implementation of Fireworks Algorithm Based on GPU

Author : Ying Tan

Published in: Fireworks Algorithm

Publisher: Springer Berlin Heidelberg

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Abstract

In recent years, the graphics processing unit (GPU) has gained much popularity in general purpose computing, thanks to its low price and easy access. In this chapter, a very efficient FWA variant based on GPUs, so-called GPU–FWA for short, is introduced. GPU–FWA modifies the original FWA to suit the particular architecture of the GPU. It does not need special complicated data structure, thus making it easy to implement; meanwhile, it can make full use of the great computing power of GPUs. The key components of GPU–FWA are FWA search, attract-repulse mutation, and implementation which are elaborated in this chapter.

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previous chapter Discrete Firework Algorithm for Combinatorial Optimization Problem
next chapter FWA Application on Non-negative Matrix Factorization
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Metadata
Title
Implementation of Fireworks Algorithm Based on GPU
Author
Ying Tan
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
Book
Fireworks Algorithm

Print ISBN: 978-3-662-46352-9

Electronic ISBN: 978-3-662-46353-6

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-662-46353-6_14

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