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Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
João BaútoRui NevesNuno Horta
出版Springer, 2018-02-03
主題Technology & Engineering / Engineering (General)Business & Economics / Finance / Financial EngineeringMathematics / AppliedComputers / Artificial Intelligence / GeneralTechnology & Engineering / GeneralBusiness & Economics / Finance / GeneralBusiness & Economics / Accounting / General
ISBN331973329X9783319733296
URLhttp://books.google.com.hk/books?id=LlNKDwAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.