Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing

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

  author =       "William {La Cava} and Lee Spector and 
                 Kourosh Danai and Matthew Lackner",
  title =        "Evolving differential equations with developmental
                 linear genetic programming and epigenetic hill
  booktitle =    "GECCO Comp '14: Proceedings of the 2014 conference
                 companion on Genetic and evolutionary computation
  year =         "2014",
  editor =       "Christian Igel and Dirk V. Arnold and 
                 Christian Gagne and Elena Popovici and Anne Auger and 
                 Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and 
                 Kalyanmoy Deb and Benjamin Doerr and James Foster and 
                 Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and 
                 Hitoshi Iba and Christian Jacob and Thomas Jansen and 
                 Yaochu Jin and Marouane Kessentini and 
                 Joshua D. Knowles and William B. Langdon and Pedro Larranaga and 
                 Sean Luke and Gabriel Luque and John A. W. McCall and 
                 Marco A. {Montes de Oca} and Alison Motsinger-Reif and 
                 Yew Soon Ong and Michael Palmer and 
                 Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and 
                 Guenther Ruhe and Tom Schaul and Thomas Schmickl and 
                 Bernhard Sendhoff and Kenneth O. Stanley and 
                 Thomas Stuetzle and Dirk Thierens and Julian Togelius and 
                 Carsten Witt and Christine Zarges",
  isbn13 =       "978-1-4503-2881-4",
  keywords =     "genetic algorithms, genetic programming: Poster",
  pages =        "141--142",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "http://doi.acm.org/10.1145/2598394.2598491",
  DOI =          "doi:10.1145/2598394.2598491",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This paper describes a method of solving the symbolic
                 regression problem using developmental linear genetic
                 programming (DLGP) with an epigenetic hill climber
                 (EHC). We propose the EHC for optimising the epigenetic
                 properties of the genotype. The epigenetic
                 characteristics are then inherited through coevolution
                 with the population. Results reveal that the EHC
                 improves performance through maintenance of smaller
                 expressed program sizes. For some problems it produces
                 more successful runs while remaining essentially
                 cost-neutral with respect to number of fitness
  notes =        "Also known as \cite{2598491} Distributed at

Genetic Programming entries for William La Cava Lee Spector Kourosh Danai Matthew A Lackner