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.
| ISBN: | 9783319733289 |
| Publication date: | 9th February 2018 |
| Author: | João Baúto, Rui Neves, Nuno Horta |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 91 pages |
| Series: | SpringerBriefs in Applied Sciences and Technology |
| Genres: |
Artificial intelligence Investment and securities Applied mathematics Economics, Finance, Business and Management |