Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs / / by João Baúto, Rui Neves, Nuno Horta
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| Autore: |
Baúto João
|
| Titolo: |
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs / / by João Baúto, Rui Neves, Nuno Horta
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Edizione: | 1st ed. 2018. |
| Descrizione fisica: | 1 online resource (91 pages) : illustrations (some color), graphs |
| Disciplina: | 519.7 |
| Soggetto topico: | Computational intelligence |
| Financial engineering | |
| Economics, Mathematical | |
| Computational Intelligence | |
| Financial Engineering | |
| Quantitative Finance | |
| Persona (resp. second.): | NevesRui |
| HortaNuno | |
| Nota di bibliografia: | Includes bibliographical references at the end of each chapters. |
| Nota di contenuto: | Introduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field. |
| Sommario/riassunto: | 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. . |
| Titolo autorizzato: | Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs |
| ISBN: | 3-319-73329-X |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910299933503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Computational Intelligence, . 2625-3704