Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
Baúto, João
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs by João Baúto, Rui Neves, Nuno Horta. - 1 recurso en línea (XIV, 91 páginas 50 ilustraciones) - SpringerBriefs in Computational Intelligence 2625-3704 Engineering (Springer-11647) .
Introduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field.
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. .
9783319733296
10.1007/978-3-319-73329-6 doi
Algoritmos genéticos
QA76.623 2018 EB
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs by João Baúto, Rui Neves, Nuno Horta. - 1 recurso en línea (XIV, 91 páginas 50 ilustraciones) - SpringerBriefs in Computational Intelligence 2625-3704 Engineering (Springer-11647) .
Introduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field.
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. .
9783319733296
10.1007/978-3-319-73329-6 doi
Algoritmos genéticos
QA76.623 2018 EB