Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
Series: SpringerBriefs in Applied Sciences and Technology;
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Product details:
- Edition number 1st ed. 2018
- Publisher Springer International Publishing
- Date of Publication 9 February 2018
- Number of Volumes 1 pieces, Book
- ISBN 9783319733289
- Binding Paperback
- No. of pages91 pages
- Size 235x155 mm
- Weight 454 g
- Language English
- Illustrations XIV, 91 p. 50 illus. Illustrations, black & white 0
Categories
Long description:
This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable of exploring the identified points of parallelism that simply focus on accelerating the heavy duty fitness function to a full GPU accelerated GA.
MoreTable of Contents:
Introduction.- State-of-the-Art in Pattern Recognition Techniques.- SAX/GA CPU Approach.- GPU-accelerated SAX/GA.- Conclusions and Future Work in the Field.
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