SpringerBriefs in Applied Sciences and Technology

Baúto, João; Neves, Rui; Horta, Nuno

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. 

Details

Published by: Springer

Publication Date: 2018-02-09

Format: Paperback

ISBN-13: 9783319733289

DOI: 10.1007/978-3-319-73329-6

Dimensions: 235cm x155cm

Pages: 91