Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs (Springerbriefs in Computational Intelligence)

Baúto, João/ Neves, Rui F. M. F./ Horta, Nuno

Springer International Publishing AG（2018/02発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 91 p.
• 商品コード 9783319733289

Full Description

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. 

Contents

Introduction.- State-of-the-Art in Pattern Recognition Techniques.- SAX/GA CPU Approach.- GPU-accelerated SAX/GA.- Conclusions and Future Work in the Field.