Soft computing systems applied to PWR's xenon

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Roberto P. Domingos and Roberto Schirru and 
                 Aquilino Senra Martinez",
  title =        "Soft computing systems applied to PWR's xenon",
  journal =      "Progress in Nuclear Energy",
  year =         "2005",
  volume =       "46",
  number =       "3-4",
  pages =        "297--308",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, control, xenon oscillation",
  DOI =          "doi:10.1016/j.pnucene.2005.03.011",
  abstract =     "The present work intends to introduce a soft computing
                 technique as an effective and robust tool available to
                 deal with nuclear engineering problems. This goal is
                 reached by the presentation of an application: a
                 genetic programming system (GP) able to automatically
                 design a controller for the axial xenon oscillations in
                 a pressurised water reactors (PWRs). The axial xenon
                 oscillations control methodology is based on three
                 axial offsets: the xenon axial offset (AOx), the iodine
                 axial offset (AOi) and the neutron flux axial offset
                 (AOf), effectively used in former work. Simulations
                 were made using a two-point xenon oscillation model
                 which employs the non-linear xenon and iodine balance
                 equations and the one group, one-dimensional neutron
                 diffusion equation, with non-linear power reactivity
                 feedback, also proposed in the literature. Obtained
                 results showed the ability of the GP in finding a
                 strategy which can effectively control the axial xenon

Genetic Programming entries for Roberto Pinheiro Domingos Roberto Schirru Aquilino Senra Martinez