Guided Fast Local Search for speeding up a financial forecasting algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Shao:2014:CIFEr,

• author = "Ming Shao and Dafni Smonou and Michael Kampouridis and Edward Tsang",
• booktitle = "IEEE Conference on Computational Intelligence for Financial Engineering Economics (CIFEr 2104)",
• title = "Guided Fast Local Search for speeding up a financial forecasting algorithm",
• year = "2014",
• month = "27-28 " # mar,
• pages = "325--332",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/CIFEr.2014.6924091",
• abstract = "Guided Local Search is a powerful meta-heuristic algorithm that has been applied to a successful Genetic Programming Financial Forecasting tool called EDDIE. Although previous research has shown that it has significantly improved the performance of EDDIE, it also increased its computational cost to a high extent. This paper presents an attempt to deal with this issue by combining Guided Local Search with Fast Local Search, an algorithm that has shown in the past to be able to significantly reduce the computational cost of Guided Local Search. Results show that EDDIE's computational cost has been reduced by an impressive 77percent, while at the same time there is no cost to the predictive performance of the algorithm.",
• notes = "Also known as \cite{6924091}",

}

Genetic Programming entries for Ming Shao Dafni Smonou Michael Kampouridis Edward P K Tsang

Citations