Experiments with Explicit For-loops in Genetic Programming

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@InProceedings{ciesielski:2004:ewefigp,
  title =        "Experiments with Explicit For-loops in Genetic
                 Programming",
  author =       "Vic Ciesielski and Xiang Li",
  pages =        "494--501",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
                 Computation",
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Theory of
                 evolutionary algorithms",
  DOI =          "doi:10.1109/CEC.2004.1330897",
  abstract =     "Evolving programs with explicit loops presents major
                 difficulties, primarily due to the massive increase in
                 the size of the search space. Fitness evaluation
                 becomes computationally expensive. We have investigated
                 ways of dealing with these poblems by the evolution of
                 for-loops of increasing semantic complexity. We have
                 chosen two problems -- a modified Santa Fe ant problem
                 and a sorting problem -- which have natural looping
                 constructs in their solution and a solution without
                 loops is not possible unless the tree depth is very
                 large. We have shown that by conrolling the complexity
                 of the loop structures it is possible to evolve smaller
                 and more understandable programs for these problems.",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",
}

Genetic Programming entries for Victor Ciesielski Xiang Li

Citations