Dynamic populations and length evolution: key factors for analyzing fault tolerance on parallel genetic programming

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

@InProceedings{1277302,
  author =       "Daniel Lombrana Gonzalez and 
                 Francisco {Fernandez de Vega}",
  title =        "Dynamic populations and length evolution: key factors
                 for analyzing fault tolerance on parallel genetic
                 programming",
  booktitle =    "GECCO '07: Proceedings of the 9th annual conference on
                 Genetic and evolutionary computation",
  year =         "2007",
  editor =       "Dirk Thierens and Hans-Georg Beyer and 
                 Josh Bongard and Jurgen Branke and John Andrew Clark and 
                 Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and 
                 Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and 
                 Julian F. Miller and Jason Moore and Frank Neumann and 
                 Martin Pelikan and Riccardo Poli and Kumara Sastry and 
                 Kenneth Owen Stanley and Thomas Stutzle and 
                 Richard A Watson and Ingo Wegener",
  volume =       "2",
  isbn13 =       "978-1-59593-697-4",
  pages =        "1752--1752",
  address =      "London",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p1752.pdf",
  DOI =          "doi:10.1145/1276958.1277302",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, USA",
  month =        "7-11 " # jul,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming: Poster,
                 management, measurement, parallel and distributed
                 evolutionary algorithm, reliability, size evolution,
                 bloat",
  size =         "1 page",
  abstract =     "This paper presents an experimental research on the
                 size of individuals when fixed and dynamic size
                 populations are employed with Genetic Programming (GP).
                 We propose an improvement to the Plague operator (PO),
                 that we have called Random Plague (RPO). Then by
                 further studies based on the RPO results we analysed
                 the Fault Tolerance on Parallel Genetic Programming.",
  notes =        "GECCO-2007 A joint meeting of the sixteenth
                 international conference on genetic algorithms
                 (ICGA-2007) and the twelfth annual genetic programming
                 conference (GP-2007).

                 ACM Order Number 910071

                 'Each removed individual [ie selected against] is a
                 lost/error computer in a simulation of a fine grained
                 parallel GP.'

                 cites \cite{DBLP:conf/pdp/GonzalezV07}",
}

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

Citations