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Parallel Genetic Algorithms for Fina...
~
Horta, Nuno.
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs/ by João Baúto, Rui Neves, Nuno Horta.
Author:
Baúto, João.
other author:
Neves, Rui.
Description:
XIV, 91 p. 50 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-319-73329-6
ISBN:
9783319733296
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
Baúto, João.
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
[electronic resource] /by João Baúto, Rui Neves, Nuno Horta. - 1st ed. 2018. - XIV, 91 p. 50 illus.online resource. - SpringerBriefs in Computational Intelligence,2625-3704. - SpringerBriefs in Computational Intelligence,.
Introduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field.
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. .
ISBN: 9783319733296
Standard No.: 10.1007/978-3-319-73329-6doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
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