Coevolution and Tartarus

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  title =        "Coevolution and Tartarus",
  author =       "Daniel Ashlock and Stephen Willson and Nicole Leahy",
  pages =        "1618--1624",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Coevolution
                 \& collective behavior, Evolutionary intelligent
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1109/CEC.2004.1331089",
  abstract =     "This study applies coevolution to the Tartarus task.
                 If the coevolving test cases are viewed as a form of
                 parasite the question of virulence becomes an important
                 feature of the algorithm. This study compares two types
                 of parasites. The impact of coevolution in this study
                 is at odds with intuition and statistically
                 significant. Analysis suggests that disruptive
                 crossover has a key effect. In the presence of
                 disruptive crossover, coevolution may need to be
                 modified to be effective. The key method of dealing
                 with disruptive crossover is tracking the age of the
                 Tartarus agents. Using only older agents to drive
                 coevolution of test cases substantially enhances the
                 performance of one of the two type of coevolution
  notes =        "GP-automata. Disruptive effect of crossover and
                 mutation important in co-evolution studies. CEC 2004 -
                 A joint meeting of the IEEE, the EPS, and the IEE.",

Genetic Programming entries for Daniel Ashlock Stephen J Willson Nicole P Leahy