Genetic programming for classifying cancer data and controlling humanoid robots

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{Paul:2006:GPTP,
  author =       "Topon Kumar Paul and Hitoshi Iba",
  title =        "Genetic programming for classifying cancer data and
                 controlling humanoid robots",
  booktitle =    "Genetic Programming Theory and Practice {IV}",
  year =         "2006",
  editor =       "Rick L. Riolo and Terence Soule and Bill Worzel",
  volume =       "5",
  series =       "Genetic and Evolutionary Computation",
  pages =        "41--59",
  address =      "Ann Arbor",
  month =        "11-13 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, breast
                 cancer, classification, cooperation dance, cooperative
                 transportation, frequently occurring genes, humanoid
                 robots, lung carcinoma, majority voting, piano movers'
                 problem, Q-learning",
  ISBN =         "0-387-33375-4",
  DOI =          "doi:10.1007/978-0-387-49650-4_4",
  size =         "18 pages",
  abstract =     "In this chapter, we show the real-world applications
                 of genetic programming (GP) to bioinformatics and
                 robotics. In the bioinformatics application, we propose
                 majority voting technique for the prediction of the
                 class of a test sample. In the application to robotics,
                 we use GP to generate the motion sequences of humanoid
                 robots. We introduce an integrated approach, i.e., the
                 combination of GP and reinforcement learning, to design
                 the desirable motions. The effectiveness of our
                 proposed approaches is demonstrated by performing
                 experiments with real data, i.e., classifying real
                 micro-array gene expression profiles and controlling
                 real humanoid robots.",
  notes =        "part of \cite{Riolo:2006:GPTP} Published Jan 2007
                 after the workshop.

                 Majority voting MVGPC NEJM_Supplement 203 lung tumour,
                 five-class.

                 Box moving, interactive evolution, humanoid robot.
                 HOAP-1, Q-learning 238 states. cooperative
                 transportation. dance (3 HOAP-1 robots).",
}

Genetic Programming entries for Topon Kumar Paul Hitoshi Iba

Citations