Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs (Paperback, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Computational Intelligence
Release date:	February 2018
First published:	2018
Authors:	Joao Bauto • Rui F.M.F. Neves • Nuno Horta
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	91
Edition:	1st ed. 2018
ISBN-13:	978-3-319-73328-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Business & Economics > Finance & accounting > Finance > Investment & securities > General Books > Money & Finance > Investment & securities > General
LSN:	3-319-73328-1
Barcode:	9783319733289

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