Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs. SpringerBriefs in Computational Intelligence

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. 

Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs. SpringerBriefs in Computational Intelligence features in the following genres: Artificial intelligence, Investment and securities, Applied mathematics, Economics, Finance, Business and Management

Paperback. Not Available.

Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs. SpringerBriefs in Computational Intelligence was written by João Baúto, Rui Neves, Nuno Horta and published by Springer an imprint of Springer International Publishing

Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs. SpringerBriefs in Computational Intelligence has 91 pages

Yes it is part of SpringerBriefs in Applied Sciences and Technology series