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.
%0 Conference Paper
%1 Teodorescu:2005:IEEnsscr
%A Teodorescu, Liliana
%B IEEE Nuclear Science Symposium Conference Record
%D 2005
%I IEEE
%K Expression Gene Programming, algorithm, algorithms, analysis analysis, computing, data energy evolutionary expression gene genetic high instrumentation physics programming,
%P 143--147
%R doi:10.1109/NSSMIC.2005.1596225
%T High energy physics data analysis with gene expression
programming
%V 1
%X 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.
@inproceedings{Teodorescu:2005:IEEnsscr,
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.},
added-at = {2008-06-19T17:46:40.000+0200},
author = {Teodorescu, Liliana},
biburl = {https://www.bibsonomy.org/bibtex/286912c6feeb51dc1cc890d133faf8db7/brazovayeye},
booktitle = {IEEE Nuclear Science Symposium Conference Record},
doi = {doi:10.1109/NSSMIC.2005.1596225},
interhash = {83cddbcae7677be4638e660c7f8ed0cc},
intrahash = {86912c6feeb51dc1cc890d133faf8db7},
keywords = {Expression Gene Programming, algorithm, algorithms, analysis analysis, computing, data energy evolutionary expression gene genetic high instrumentation physics programming,},
month = {23-29 October},
notes = {ISSN: 1082-3654 INSPEC Accession Number:8976991},
pages = {143--147},
publisher = {IEEE},
timestamp = {2008-06-19T17:53:02.000+0200},
title = {High energy physics data analysis with gene expression
programming},
volume = 1,
year = 2005
}