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Parallel genetic algorithms for financial pattern discovery using GPUs

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Baúto, João Neves, Rui Springer International Publishing (Cham, Switzerland , 2018) (eng) English 9783319733296 SpringerBriefs in computational intelligence 1st ed. PATTERN RECOGNITION SYSTEMS; Unknown 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. .

Physical dimension
1 online resource (xiv, 91 p.) Unknown ill.

Summary / review / table of contents

Introduction --
State-of-the-Art in Pattern Recognition Techniques --
SAX/GA CPU Approach --
GPU-accelerated SAX/GA --
Conclusions and Future Work in the Field.


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Access no. Call number Location Status
01904/20 006.3823 Bau P Online Available