Analyzing Fault Tolerance on Parallel Genetic Programming by Means of Dynamic-Size Populations

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Gonzalez:2007:cec,
  author =       "Daniel Lombrana Gonzalez and 
                 Francisco {Fernandez de Vega}",
  title =        "Analyzing Fault Tolerance on Parallel Genetic
                 Programming by Means of Dynamic-Size Populations",
  booktitle =    "2007 IEEE Congress on Evolutionary Computation",
  year =         "2007",
  editor =       "Dipti Srinivasan and Lipo Wang",
  pages =        "4392--4398",
  address =      "Singapore",
  month =        "25-28 " # sep,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  ISBN =         "1-4244-1340-0",
  file =         "1666.pdf",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2007.4425045",
  abstract =     "This paper presents an experimental research on the
                 size of individuals when dynamic size populations are
                 employed with Genetic Programming (GP). By analysing
                 the individual's size evolution, some ideas are
                 presented for reducing the length of the best
                 individual while also improving the quality. This
                 research has been performed studying both individual's
                 size and quality of solutions, considering the
                 fixed-size populations and also dynamic size by means
                 of the plague operator. We propose an improvement to
                 the Plague operator, that we have called Random Plague,
                 that positively affects the quality of solutions and
                 also influences the individuals' size. The results are
                 then considered from a quite different point of view,
                 the presence of processors failures when parallel
                 execution over distributed computing environments are
                 employed. We show that results strongly encourage the
                 use of Parallel GP on non fault-tolerant computing
                 resources: experiments shows the fault tolerant nature
                 of Parallel GP.",
  notes =        "CEC 2007 - A joint meeting of the IEEE, the EPS, and
                 the IET.

                 IEEE Catalog Number: 07TH8963C",
}

Genetic Programming entries for Daniel Lombrana Gonzalez Rodriguez Francisco Fernandez de Vega

Citations