Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs (SpringerBriefs in Applied Sciences and Technology) - Softcover

Baúto, João; Neves, Rui; Horta, Nuno

 
9783319733289: Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs (SpringerBriefs in Applied Sciences and Technology)
Softcover
ISBN 10: 3319733281 ISBN 13: 9783319733289
Publisher: Springer, 2018

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. 

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About the Author

João Baúto works at Fundacao Champalimaud in Lisbon, Portugal. He implements high performance computing tools applied to neuroscience and cancer research.


Rui Ferreira Neves is a professor at Instituto Superior Técnico, Portugal. His research activity comprises evolutionary computation and pattern matching applied to the financial markets, sensor networks, embedded systems and mixed signal integrated circuits.

Nuno Horta is the Head of the Integrated Circuits Group, Instituto de Telecomunicacoes, Portugal. His reseach interests are mainly in analog and mixed-sgnal IC design, analog IC design automation, soft computing and data science.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2018
Language
English
ISBN 10 
3319733281
ISBN 13 
9783319733289
Binding
Paperback
Edition number
1
Number of pages
105