Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs 1

Data & IT

Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs

Joo Bato • Rui F M F Neves • Nuno Horta

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91 sidor
2018

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.

Författare: Joo Bato, Rui F M F Neves, Nuno Horta
Illustratör: Bibliographie
Format: Pocket/Paperback
ISBN: 9783319733289
Språk: Engelska
Antal sidor: 91
Utgivningsdatum: 2018-02-09
Förlag: Springer International Publishing AG