PhysicsGP: A Genetic Programming Approach to Event Selection

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  title =        "Physics{GP}: {A} Genetic Programming Approach to Event
  author =       "Kyle Cranmer and R. Sean Bowman",
  year =         "2004",
  month =        feb # "~05",
  abstract =     "We present a novel multivariate classification
                 technique based on Genetic Programming. The technique
                 is distinct from Genetic Algorithms and offers several
                 advantages compared to Neural Networks and Support
                 Vector Machines. The technique optimizes a set of
                 human-readable classifiers with respect to some
                 user-defined performance measure. We calculate the
                 Vapnik-Chervonenkis dimension of this class of learning
                 machines and consider a practical example: the search
                 for the Standard Model Higgs Boson at the LHC. The
                 resulting classifier is very fast to evaluate,
                 human-readable, and easily portable. The software may
                 be downloaded at:
  note =         "Comment: 16 pages 9 figures, 1 table. Submitted to
                 Comput. Phys. Commun",
  oai =          "",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, Triggering,
                 Classification, VC Dimension, Neural Networks, Support
                 Vector Machines",
  size =         "pages",
  notes =        "Published as \cite{cranmer:2005:CPC}.

                 cites \cite{luke:2000:2ftcaGP}.

                 Population is converted to C and compiled for fitness
                 evaluation. (Details of GP including fitness definition
                 (Gaussian/Poisson significance?) are vague). selection
                 pressure based on inverse cumulative fitness
                 distribution. Recentered fitness?

                 Ring topology CORBA parallel programming. Island

                 Higgs Boson, Large Hadron Collider CERN.",

Genetic Programming entries for Kyle S Cranmer R Sean Bowman