Cost-benefit investigation of a Genetic-Programming Hyperheuristic

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

  author =       "Robert E. Keller and Riccardo Poli",
  title =        "Cost-benefit investigation of a Genetic-Programming
  booktitle =    "Evolution Artificielle, 8th International Conference",
  editor =       "Nicolas Monmarche and El-Ghazali Talbi and 
                 Pierre Collet and Marc Schoenauer and Evelyne Lutton",
  volume =       "4926",
  year =         "2007",
  series =       "Lecture Notes in Computer Science",
  pages =        "13--24",
  address =      "Tours, France",
  month =        "29-31 " # oct,
  publisher =    "Springer",
  note =         "Revised Selected Papers",
  keywords =     "genetic algorithms, genetic programming, grammar",
  isbn13 =       "978-3-540-79304-5",
  bibsource =    "DBLP,",
  DOI =          "doi:10.1007/978-3-540-79305-2_2",
  abstract =     "in previous work, we have introduced an effective,
                 grammar-based, linear Genetic-Programming
                 hyperheuristic, i.e., a search heuristic on the space
                 of heuristics. Here we further investigate this
                 approach in the context of search performance and
                 resource usage. For the chosen realistic travelling
                 salesman problems it shows that the hyperheuristic
                 routinely produces metaheuristics that find tours whose
                 lengths are highly competitive with the best results
                 from literature, while population size, genotype size,
                 and run time can be kept very moderate.",
  notes =        "EA'07",

Genetic Programming entries for Robert E Keller Riccardo Poli