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.
Users
Please
log in to take part in the discussion (add own reviews or comments).