Parallel genetic algorithms for financial pattern discovery using GPUs
1st ed.
- Author
- Additional Author(s)
-
- Publisher
- Cham, Switzerland : Springer International Publishing, 2018
- Language
- English
- ISBN
- 9783319733296
- Series
- SpringerBriefs in computational intelligence
- Subject(s)
-
- GENETIC ALGORITHMS
- PARALLEL PROCESSING (ELECTRONIC COMPUTERS)
- PATTERN RECOGNITION SYSTEMS
- Notes
-
. .
- Abstract
- 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. .
Physical Dimension
- Number of Page(s)
- 1 online resource (xiv, 91 p.)
- Dimension
- -
- Other Desc.
- ill.
Summary / Review / Table of Content
Introduction --
State-of-the-Art in Pattern Recognition Techniques --
SAX/GA CPU Approach --
GPU-accelerated SAX/GA --
Conclusions and Future Work in the Field.
Exemplar(s)
| # |
Accession No. |
Call Number |
Location |
Status |
| 1. | 01904/20 | 006.3823 Bau P | Online ! | Available |
