Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs

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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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Baúto, João (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Neves, Rui (http://id.loc.gov/vocabulary/relators/aut), Horta, Nuno (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:SpringerBriefs in Computational Intelligence,
Θέματα:
Computational intelligence.
Financial engineering.
Economics, Mathematical .
Computational Intelligence.
Financial Engineering.
Quantitative Finance.
Διαθέσιμο Online:Full Text via HEAL-Link
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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. 
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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650 2 4 |a Quantitative Finance.  |0 http://scigraph.springernature.com/things/product-market-codes/M13062 
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