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

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

Rui Neves
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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. 
Pages
103
Format
Kindle Edition
Publisher
Springer
Release
February 03, 2018

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

Rui Neves
0/5 ( ratings)
Read Download
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. 
Pages
103
Format
Kindle Edition
Publisher
Springer
Release
February 03, 2018

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