Fine grained population diversity analysis for parallel genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Winkler:2009:IPDPS,
  author =       "Stephan M. Winkler and Michael Affenzeller and 
                 Stefan Wagner",
  title =        "Fine grained population diversity analysis for
                 parallel genetic programming",
  booktitle =    "IEEE International Symposium on Parallel Distributed
                 Processing, IPDPS 2009",
  year =         "2009",
  month =        may,
  address =      "Rome",
  pages =        "1--8",
  keywords =     "genetic algorithms, genetic programming, BMW diesel
                 engine, GP population, genetic diversity,
                 multipopulation GP, parallel genetic programming,
                 population diversity, similarity measurement,
                 structural similarity, system identification,
                 identification, parallel programming",
  DOI =          "doi:10.1109/IPDPS.2009.5161117",
  ISSN =         "1530-2075",
  abstract =     "In this paper we describe a formalism for estimating
                 the structural similarity of formulas that are evolved
                 by parallel genetic programming (GP) based
                 identification processes. This similarity measurement
                 can be used for measuring the genetic diversity among
                 GP populations and, in the case of multi-population GP,
                 the genetic diversity among sets of GP populations: The
                 higher the average similarity among solutions becomes,
                 the lower is the genetic diversity. Using this
                 definition of genetic diversity for GP we test several
                 different GP based system identification algorithms for
                 analyzing real world measurements of a BMW diesel
                 engine as well as medical benchmark data taken from the
                 UCI machine learning repository.",
  notes =        "Also known as \cite{5161117}",
}

Genetic Programming entries for Stephan M Winkler Michael Affenzeller Stefan Wagner

Citations