Evolving specific network statistical properties using a gene regulatory network model

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{DBLP:conf/gecco/NicolauS09,
  author =       "Miguel Nicolau and Marc Schoenauer",
  title =        "Evolving specific network statistical properties using
                 a gene regulatory network model",
  booktitle =    "GECCO '09: Proceedings of the 11th Annual conference
                 on Genetic and evolutionary computation",
  year =         "2009",
  editor =       "Guenther Raidl and Franz Rothlauf and 
                 Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and 
                 Mauro Birattari and Clare Bates Congdon and 
                 Martin Middendorf and Christian Blum and Carlos Cotta and 
                 Peter Bosman and Joern Grahl and Joshua Knowles and 
                 David Corne and Hans-Georg Beyer and Ken Stanley and 
                 Julian F. Miller and Jano {van Hemert} and 
                 Tom Lenaerts and Marc Ebner and Jaume Bacardit and 
                 Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and 
                 Thomas Jansen and Riccardo Poli and Enrique Alba",
  pages =        "723--730",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  doi =          "doi:10.1145/1569901.1570001",
  abstract =     "The generation of network topologies with specific,
                 user-specified statistical properties is addressed
                 using an Evolutionary Algorithm that is seeded by an
                 Artificial Gene Regulatory Network Model. The work
                 presented here extends previous work where the proposed
                 approach was demonstrated to be able to evolve
                 scale-free topologies. The present results reinforce
                 the applicability of the proposed method, showing that
                 the evolution of small-world topologies is also
                 possible, but requires a carefully crafted fitness
                 function.",
  notes =        "GECCO-2009 A joint meeting of the eighteenth
                 international conference on genetic algorithms
                 (ICGA-2009) and the fourteenth annual genetic
                 programming conference (GP-2009).

                 ACM Order Number 910092.",
}

Genetic Programming entries for Miguel Nicolau Marc Schoenauer