Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
| By: | João Baúto; Rui Neves; Nuno Horta |
| Publisher: | Springer Nature |
| Print ISBN: | 9783319733289 |
| eText ISBN: | 9783319733296 |
| Edition: | 0 |
| Copyright: | 2018 |
| Format: | Reflowable |
Lifetime - $65.99
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Details
Table of Contents
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.