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PARALLEL AND DISTRIBUTED EVOLUTIONARY COMPUTATION FOR FINANCIAL APPLICATIONS

 

作者: BASTIEN CHOPARD,   OLIVIER PICTET,   MARCO TOMASSINP,  

 

期刊: Parallel Algorithms and Applications  （Taylor Available online 2000）
卷期: Volume 15, issue 1-2  

页码: 15-36

 

ISSN:1063-7192

 

年代: 2000

 

DOI:10.1080/01495730008947348

 

出版商: Taylor & Francis Group

 

关键词: Evolutionary algorithms;Parallel computing;Genetic programming;Financial application;Trading model induction

 

数据来源: Taylor

 

摘要:

A survey of two parallel evolutionary computation techniques is presented: the genetic algorithms and genetic programming methods. An application of this approach to the induction of trading models is presented for financial assets, which is known as a hard problem. This study analyses the potential of this approach and the benefit of parallelization.

 

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