Parallel Genetic Algorithms for Financial Pattern Discovery Using Gpus
商品資訊
系列名:Computational Intelligence
ISBN13:9783319733289
出版社:Springer-Verlag New York Inc
作者:Joao Bao; Rui Neves; Nuno Horta
出版日:2018/02/09
裝訂:平裝
規格:23.5cm*15.5cm (高/寬)
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作者簡介
商品簡介
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.
作者簡介
Joao Bauto 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 Tecnico, 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.
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