An Efficient Structural Diversity Technique for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Burks:2015:GECCO,
  author =       "Armand R. Burks and William F. Punch",
  title =        "An Efficient Structural Diversity Technique for
                 Genetic Programming",
  booktitle =    "GECCO '15: Proceedings of the 2015 Annual Conference
                 on Genetic and Evolutionary Computation",
  year =         "2015",
  editor =       "Sara Silva and Anna I Esparcia-Alcazar and 
                 Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and 
                 Christine Zarges and Luis Correia and Terence Soule and 
                 Mario Giacobini and Ryan Urbanowicz and 
                 Youhei Akimoto and Tobias Glasmachers and 
                 Francisco {Fernandez de Vega} and Amy Hoover and Pedro Larranaga and 
                 Marta Soto and Carlos Cotta and Francisco B. Pereira and 
                 Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and 
                 Heike Trautmann and Jean-Baptiste Mouret and 
                 Sebastian Risi and Ernesto Costa and Oliver Schuetze and 
                 Krzysztof Krawiec and Alberto Moraglio and 
                 Julian F. Miller and Pawel Widera and Stefano Cagnoni and 
                 JJ Merelo and Emma Hart and Leonardo Trujillo and 
                 Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and 
                 Carola Doerr",
  isbn13 =       "978-1-4503-3472-3",
  pages =        "991--998",
  keywords =     "genetic algorithms, genetic programming",
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "http://doi.acm.org/10.1145/2739480.2754649",
  DOI =          "doi:10.1145/2739480.2754649",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Genetic diversity plays an important role in avoiding
                 premature convergence, which is a phenomenon that
                 stifles the search effectiveness of evolutionary
                 algorithms. However, approaches that avoid premature
                 convergence by maintaining genetic diversity can do so
                 at the cost of efficiency, requiring more fitness
                 evaluations to find high quality solutions. We
                 introduce a simple and efficient genetic diversity
                 technique that is capable of avoiding premature
                 convergence while maintaining a high level of search
                 quality in tree-based genetic programming. Our method
                 finds solutions to a set of benchmark problems in
                 significantly fewer fitness evaluations than the
                 algorithms that we compared against.",
  notes =        "Also known as \cite{2754649} GECCO-2015 A joint
                 meeting of the twenty fourth international conference
                 on genetic algorithms (ICGA-2015) and the twentith
                 annual genetic programming conference (GP-2015)",
}

Genetic Programming entries for Armand R Burks William F Punch

Citations