Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs (SpringerBriefs in Applied Sciences and Technology)
暫譯: 使用GPU的平行遺傳演算法進行金融模式發現 (SpringerBriefs in Applied Sciences and Technology)

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.