Fault-Tolerant Computing with N-Version Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4009

  author =       "Kosuke Imamura and James A. Foster",
  title =        "Fault-Tolerant Computing with N-Version Genetic
  institution =  "Initiative for Bioinformatics and Evolutionary STudies
                 (IBEST), Computer Science Department, University of
  year =         "2001",
  address =      "Moscow, ID 83844-1010, USA",
  note =         "Submitted to Genetic and Evolutionary Computing
                 Conference (GECCO 2001)",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://people.ibest.uidaho.edu/~foster/Papers/7386.pdf",
  abstract =     "Software reliability is an increasingly important
                 issue today. Yet, reliability of genetic programming
                 has not been studied fully. A genetic program to be
                 deployed is often the one which performs the best on
                 sample tests. One of the techniques to improve
                 reliability is N-version programming. Our question is
                 whether N-version genetic programming (NVGP) improves
                 reliability over a single version. We applied NVGP to a
                 path prediction problem, and compared the performance
                 with a single version. Statistics from the experiment
                 suggests that NVGP is a viable method to increase
  notes =        "see \cite{imamura:2001:gecco}",
  size =         "7 pages",

Genetic Programming entries for Kosuke Imamura James A Foster