Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Kenneth Holladay",
  title =        "Characterizing the genetic programming environment for
                 fifth (GPE5) on a high performance computing cluster",
  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 =        "1363--1370",
  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,",
  DOI =          "doi:10.1145/1569901.1570084",
  abstract =     "Solving complex, real-world problems with genetic
                 programming (GP) can require extensive computing
                 resources. However, the highly parallel nature of GP
                 facilitates using a large number of resources
                 simultaneously, which can significantly reduce the
                 elapsed wall clock time per GP run. This paper explores
                 the performance characteristics of an MPI version of
                 the Genetic Programming Environment for FIFTH (GPE5) on
                 a high performance computing cluster. The
                 implementation is based on the island model with each
                 node running the GP algorithm asynchronously. In
                 particular, we examine the effect of several
                 configurable properties of the system including the
                 ratio of migration to crossover, the migration cycle of
                 programs between nodes, and the number of processors
                 used. The problems employed in the study were selected
                 from the fields of symbolic regression, finite algebra,
                 and digital signal processing.",
  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 Kenneth L Holladay