Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs - Couverture souple

Baúto, João; Neves, Rui; Horta, Nuno

 
9783319733289: Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
Couverture souple
ISBN 10 : 3319733281 ISBN 13 : 9783319733289
Editeur : 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. 

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2018
Langue
anglais
ISBN 10 
3319733281
ISBN 13 
9783319733289
Reliure
Broché
Numéro d'édition
1
Nombre de pages
108
Coordonnées du fabricant
non disponible
Personne responsable
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