Advanced Population Diversity Measures in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Edmund Burke and Steven Gustafson and 
                 Graham Kendall and Natalio Krasnogor",
  title =        "Advanced Population Diversity Measures in Genetic
  booktitle =    "Parallel Problem Solving from Nature - PPSN VII",
  address =      "Granada, Spain",
  month =        "7-11 " # sep,
  pages =        "341--350",
  year =         "2002",
  editor =       "Juan J. Merelo-Guervos and Panagiotis Adamidis and 
                 Hans-Georg Beyer and Jose-Luis Fernandez-Villacanas and 
                 Hans-Paul Schwefel",
  number =       "2439",
  series =       "Lecture Notes in Computer Science, LNCS",
  publisher =    "Springer-Verlag",
  URL =          "",
  URL =          "",
  URL =          "",
  URL =          "",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1007/3-540-45712-7_33",
  keywords =     "genetic algorithms, genetic programming, Theory of EC,
                 Evolution dynamics",
  ISBN =         "3-540-44139-5",
  abstract =     "This paper presents a survey and comparison of
                 significant diversity measures in the genetic
                 programming literature. This study builds on previous
                 work by the authors to gain a deeper understanding of
                 the conditions under which genetic programming
                 evolution is successful. Three benchmark problems
                 (Artificial Ant, Symbolic Regression and Even-5-Parity)
                 are used to illustrate different diversity measures and
                 to analyse their correlation with performance. Results
                 show that measures of population diversity based on
                 edit distances and phenotypic diversity suggest that
                 successful evolution occurs when populations converge
                 to a similar structure but with high fitness

Genetic Programming entries for Edmund Burke Steven M Gustafson Graham Kendall Natalio Krasnogor