Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs. SpringerBriefs in Computational Intelligence - SpringerBriefs in Applied Sciences and Technology

João Baúto, Rui Neves, Nuno Horta

1st Edition 2018

Paperback (09 Feb 2018)

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Publisher's Synopsis

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.

Book information

ISBN:	9783319733289
Publisher:	Springer International Publishing
Imprint:	Springer
Pub date:	09 Feb 2018
Edition:	1st Edition 2018
Language:	English
Number of pages:	91
Weight:	180g
Height:	235mm
Width:	155mm
Spine width:	6mm