Approximating geometric crossover in semantic space

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Krzysztof Krawiec and Pawel Lichocki",
  title =        "Approximating geometric crossover in semantic space",
  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 =        "987--994",
  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:10.1145/1569901.1570036",
  abstract =     "We propose a crossover operator that works with
                 genetic programming trees and is approximately
                 geometric crossover in the semantic space. By defining
                 semantic as program's evaluation profile with respect
                 to a set of fitness cases and constraining to a
                 specific class of metric-based fitness functions, we
                 cause the fitness landscape in the semantic space to
                 have perfect fitness-distance correlation. The proposed
                 approximately geometric semantic crossover exploits
                 this property of the semantic fitness landscape by an
                 appropriate sampling. We demonstrate also how the
                 proposed method may be conveniently combined with hill
                 climbing. We discuss the properties of the methods, and
                 describe an extensive computational experiment
                 concerning logical function synthesis and symbolic
  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 Krzysztof Krawiec Pawel Lichocki