Better Trained Ants

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "W. B. Langdon",
  title =        "Better Trained Ants",
  booktitle =    "Late Breaking Papers at EuroGP'98: the First European
                 Workshop on Genetic Programming",
  year =         "1998",
  editor =       "Riccardo Poli and W. B. Langdon and 
                 Marc Schoenauer and Terry Fogarty and Wolfgang Banzhaf",
  pages =        "11--13",
  address =      "Paris, France",
  publisher_address = "School of Computer Science",
  month =        "14-15 " # apr,
  publisher =    "CSRP-98-10, The University of Birmingham, UK",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "3 pages",
  abstract =     "The problem of programming an artificial ant to follow
                 the Santa~Fe trail has been repeatedly used as a
                 benchmark problem. Recently we have shown performance
                 of several techniques is not much better than the best
                 performance obtainable using uniform random search. We
                 suggested that this could be because the program
                 fitness landscape is difficult for hill climbers and
                 the problem is also difficult for Genetic Algorithms as
                 it contains multiple levels of deception.

                 Here we redefine the problem so the ant is obliged to
                 traverse the trail in approximately the correct order.
                 A simple genetic programming system, with no size or
                 depth restriction, is shown to perform approximately
                 three times better with the improved training
  notes =        "EuroGP'98LB part of \cite{Poli:1998:egplb} Also
                 available as CSRP-98-08 langdon:1998:antlook See also

Genetic Programming entries for William B Langdon