Dynamic Environments can speed up evolution with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Michael O'Neill and Miguel Nicolau and 
                 Anthony Brabazon",
  title =        "Dynamic Environments can speed up evolution with
                 Genetic Programming",
  institution =  "UCD School of Computer Science and Informatics",
  year =         "2011",
  number =       "UCD-CSI-2011-03",
  address =      "University College Dublin, Ireland",
  keywords =     "genetic algorithms, genetic programming, grammatical
  broken =       "http://www.csi.ucd.ie/biblio",
  URL =          "http://www.csi.ucd.ie/files/UCD-CSI-2011-03.pdf",
  size =         "12 pages",
  abstract =     "We present a study of dynamic environments with
                 genetic programming to ascertain if a dynamic
                 environment can speed up evolution when compared to an
                 equivalent static environment. We present an analysis
                 of the types of dynamic variation which can occur with
                 a variable-length representation such as adopted in
                 genetic programming identifying modular varying,
                 structural varying and incremental varying goals. An
                 empirical investigation comparing these three types of
                 varying goals on dynamic symbolic regression benchmarks
                 reveals an advantage for goals which vary in terms of
                 increasing structural complexity. This provides
                 evidence to support the added difficulty variable
                 length representations incur due to their requirement
                 to search structural and parametric space concurrently,
                 and how directing search through varying structural
                 goals with increasing complexity can speed up search
                 with genetic programming.",
  notes =        "Fig 5 four arithmetic functions only prefix BNF
                 grammar. Figs 8 initial reduction in phenotype???
                 followed by linear??? bloat, fig 9 slower growth",

Genetic Programming entries for Michael O'Neill Miguel Nicolau Anthony Brabazon