Optimizing Programs with Estimation of Bayesian Network

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

@InProceedings{Hasegawa:2006:CEC,
  author =       "Yoshihiko Hasegawa and Hitoshi Iba",
  title =        "Optimizing Programs with Estimation of {Bayesian}
                 Network",
  booktitle =    "Proceedings of the 2006 IEEE Congress on Evolutionary
                 Computation",
  year =         "2006",
  editor =       "Gary G. Yen and Lipo Wang and Piero Bonissone and 
                 Simon M. Lucas",
  pages =        "5527--5534",
  address =      "Vancouver",
  month =        "6-21 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7803-9487-9",
  DOI =          "doi:10.1109/CEC.2006.1688469",
  size =         "8 pages",
  abstract =     "Genetic Programming (GP) is a powerful optimisation
                 algorithm and has been applied to many problems. GP is
                 an extension of Genetic Algorithm (GA) which can handle
                 programs, functions, etc. GP evolves with genetic
                 operators such as crossover and mutation. The crossover
                 operator in GP however selects sub-trees randomly and
                 this selection is done regardless of the problem. This
                 gives rise to the destruction of good building blocks.
                 Recently, probabilistic model building techniques have
                 been applied to GP to estimate the building blocks
                 properly. This type of algorithm is called
                 Probabilistic Model Building GP (PMBGP). Because GP
                 uses many types of nodes, prior PMBGPs have been faced
                 with the problem of huge CPT (Conditional Probability
                 Table) size. The large CPT not only consumes a lot of
                 memory but also requires many samples to construct
                 networks. We propose a new PMBGP that uses Bayesian
                 network for generating new individuals. In our
                 approach, a special chromosome called expanded",
  notes =        "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 IEEE Catalog Number: 06TH8846D",
}

Genetic Programming entries for Yoshihiko Hasegawa Hitoshi Iba

Citations