Liquid State Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Mihai Oltean",
  title =        "Liquid State Genetic Programming",
  year =         "2007",
  bibsource =    "DBLP,",
  booktitle =    "8th International Conference on Adaptive and Natural
                 Computing Algorithms, ICANNGA 2007, Part I",
  editor =       "Bartlomiej Beliczynski and Andrzej Dzielinski and 
                 Marcin Iwanowski and Bernardete Ribeiro",
  series =       "Lecture Notes in Computer Science",
  volume =       "4431",
  pages =        "220--229",
  address =      "Warsaw, Poland",
  month =        apr # " 11-14",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-71589-4",
  DOI =          "doi:10.1007/978-3-540-71618-1_25",
  size =         "10 pages",
  abstract =     "A new Genetic Programming variant called Liquid State
                 Genetic Programming (LSGP) is proposed in this paper.
                 LSGP is a hybrid method combining a dynamic memory for
                 storing the inputs (the liquid) and a Genetic
                 Programming technique used for the problem solving
                 part. Several numerical experiments with LSGP are
                 performed by using several benchmarking problems.
                 Numerical experiments show that LSGP performs similarly
                 and sometimes even better than standard Genetic
                 Programming for the considered test problems.",
  notes =        "liquid programming previously used as way of
                 conditioning inputs for ANN now used with GP to solve
                 even parity.",

Genetic Programming entries for Mihai Oltean