Wave: A Genetic Programming Approach to Divide and Conquer

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "David Medernach and Jeannie Fitzgerald and 
                 R. Muhammad Atif Azad and Conor Ryan",
  title =        "Wave: A Genetic Programming Approach to Divide and
  booktitle =    "GECCO Companion '15: Proceedings of the Companion
                 Publication 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 =       "978-1-4503-3488-4",
  keywords =     "genetic algorithms, genetic programming: Poster",
  pages =        "1435--1436",
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "http://doi.acm.org/10.1145/2739482.2764659",
  DOI =          "doi:10.1145/2739482.2764659",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This work introduces Wave, a divide and conquer
                 approach to GP whereby a sequence of short, and
                 dependent but potentially heterogeneous GP runs
                 provides a collective solution; the sequence akins wave
                 such that each short GP run is a period of the wave.
                 Heterogeneity across periods results from varying
                 settings of system parameters, such as population size
                 or number of generations, and also by alternating use
                 of the popular GP technique known as linear scaling.",
  notes =        "Also known as \cite{2764659} Distributed at

Genetic Programming entries for David Medernach Jeannie Fitzgerald R Muhammad Atif Azad Conor Ryan