Indexed Memory as a Generic Protocol for Handling Vectors of Data in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Ik Soo Lim and Daniel Thalmann",
  title =        "Indexed Memory as a Generic Protocol for Handling
                 Vectors of Data in Genetic Programming",
  booktitle =    "Fifth International Conference on Parallel Problem
                 Solving from Nature",
  year =         "1998",
  editor =       "Agoston E. Eiben and Thomas Back and 
                 Marc Schoenauer and Hans-Paul Schwefel",
  volume =       "1498",
  series =       "LNCS",
  pages =        "325--334",
  address =      "Amsterdam",
  publisher_address = "Berlin",
  month =        "27-30 " # sep,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-65078-4",
  DOI =          "doi:10.1007/BFb0056875",
  size =         "10 pages",
  abstract =     "Indexed memory is used as a generic protocol for
                 handling vectors of data in genetic programming. Using
                 this simple method, a single program can generate many
                 outputs. It eliminates the complexity of maintaining
                 different trees for each desired parameter and avoid
                 problem-specific function calls for handling the
                 vectors. This allows a single set of programming
                 language primitives applicable to wider range of
                 problems. For a test case, the technique is appliedto
                 evolution of behavioural control programs for a
                 simulated 2d vehicle in a corridor following problem.",
  notes =        "PPSN-V",
  affiliation =  "LIG, Department of Computer Science, Swiss Federal
                 Institute of Technology (EPFL), CH-1015 Lausanne,

Genetic Programming entries for Ik Soo Lim Daniel Thalmann