Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
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...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
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Cham :
Springer International Publishing,
2018.
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| Ausgabe: | 1st ed. 2018. |
| Schriftenreihe: | SpringerBriefs in Computational Intelligence,
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| ISBN: | 9783319733296 |
| ISSN: | 2625-3704 |
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| 041 | |a eng | ||
| 100 | 1 | |a Baúto, João. |4 aut | |
| 245 | 1 | 0 | |a Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs |h [electronic resource] / |c by João Baúto, Rui Neves, Nuno Horta. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Cham : |b Springer International Publishing, |c 2018. | |
| 300 | |a XIV, 91 p. 50 illus. |b online resource. | ||
| 490 | 1 | |a SpringerBriefs in Computational Intelligence, |x 2625-3704 | |
| 500 | |a Engineering | ||
| 505 | 0 | |a Introduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. . | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Financial engineering. | |
| 650 | 0 | |a Economics, Mathematical . | |
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