@article{Teodorescu:2006:IEEETNS,
title = {Gene Expression Programming Approach to Event
Selection in High Energy Physics},
author = {Liliana Teodorescu},
journal = {IEEE Transactions on Nuclear Science},
month = {August},
number = {4 (part2)},
pages = {2221--2227},
volume = {53},
year = {2006},
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. It allowed automatic
identification of selection rules that can be
interpreted as cuts applied on the input variables. The
signal/background classification accuracy was over
90percent in all cases.},
issn = {0018-9499}, size = {7 pages}, doi = {doi:10.1109/TNS.2006.878571},
keywords = {Event Expression Gene Programming, algorithms algorithms, evolutionary genetic programming, selection, }
}
::