Genetic Programming with Efficient Population Control for Financial Time Series Prediction

Created by W.Langdon from gp-bibliography.bib Revision:1.9244

@InProceedings{wagner:2001:gpepcftsp,

• author = "Neal Wagner and Zbigniew Michalewicz",
• title = "Genetic Programming with Efficient Population Control for Financial Time Series Prediction",
• booktitle = "2001 Genetic and Evolutionary Computation Conference Late Breaking Papers",
• year = "2001",
• editor = "Erik D. Goodman",
• pages = "458--462",
• address = "San Francisco, California, USA",
• month = "9-11 " # jul,
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.coe.uncc.edu/~nwagner/gecco/GeccoPresentation_files/v3_document.htm",
• URL = "https://www.nealwagner.org/research/articles/GECCO_2001.pdf",
• size = "5 pages",
• abstract = "Genetic Programming (GP) uses variable size representations as solutions. The size of individual solutions in a population can influence the efficiency of the search process. we compare an alternative method for GP population control to the method commonly found in the literature for the task of financial time series prediction. It is shown that the alternative method gives comparable results with significantly more efficient use of computer resources.",
• notes = "GECCO-2001LB, bloat control by dynamic size/depth limits",

}

Genetic Programming entries for Neal Wagner Zbigniew Michalewicz

Citations