A schema theory analysis of the evolution of size in genetic programming with linear representations

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@TechReport{McPhee00-22,
  author =       "Nicholas Freitag McPhee and Riccardo Poli",
  title =        "A schema theory analysis of the evolution of size in
                 genetic programming with linear representations",
  institution =  "University of Birmingham, School of Computer Science",
  number =       "CSRP-00-22",
  month =        nov,
  year =         "2000",
  email =        "N.F.McPhee@cs.bham.ac.uk, R.Poli@cs.bham.ac.uk",
  keywords =     "genetic algorithms, genetic programming",
  file =         "/2000/CSRP-00-22.ps.gz",
  URL =          "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2000/CSRP-00-22.ps.gz",
  abstract =     "In this paper we use the schema theory presented in
                 [Poli and McPhee, 2000] to better understand the
                 changes in size distribution when using GP with
                 standard crossover and linear structures. Applications
                 of the theory to problems both with and without fitness
                 suggest that standard crossover induces specific biases
                 in the distributions of sizes, with a strong tendency
                 to over sample small structures, and indicate
                 the

                 existence of strong redistribution effects that may be
                 a major force in the early stages of a GP run. We also
                 present two important theoretical results: An exact
                 theory of bloat, and a general theory of how average
                 size changes on flat landscapes with glitches. The
                 latter implies the surprising result that a single
                 program glitch in an otherwise flat fitness landscape
                 is sufficient to drive the average program size of an
                 infinite population, which may have

                 important implications for the control of code
                 growth.",
  notes =        "published as \cite{mcphee:2001:EuroGP}",
}

Genetic Programming entries for Nicholas Freitag McPhee Riccardo Poli

Citations