High energy physics data analysis with gene expression programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Teodorescu:2005:IEEnsscr,

• author = "Liliana Teodorescu",
• title = "High energy physics data analysis with gene expression programming",
• booktitle = "IEEE Nuclear Science Symposium Conference Record",
• year = "2005",
• volume = "1",
• pages = "143--147",
• month = "23-29 " # oct,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, Gene Expression Programming, data analysis, high energy physics instrumentation computing, evolutionary algorithm, gene expression programming, high energy physics data analysis",
• DOI = "doi:10.1109/NSSMIC.2005.1596225",
• abstract = "Gene expression programming is a new evolutionary algorithm that overcomes many limitations of the more established genetic algorithms and genetic programming. Its first application to high energy physics data analysis is presented. The algorithm was successfully used for event selection on samples with both low and high background level. The signal/background classification accuracy was over 90percent in all cases.",
• notes = "ISSN: 1082-3654 INSPEC Accession Number:8976991",

}

Genetic Programming entries for Liliana Teodorescu

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