Improvement of the Success Rate of Automatic Generation of Procedural Programs with Variable Initialization Using Genetic Programming

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

@InProceedings{Horii:2014:IIAIAAI,
  author =       "F. Horii and T. Hochin and H. Nomiya",
  booktitle =    "3rd International Conference on Advanced Applied
                 Informatics (IIAIAAI 2014)",
  title =        "Improvement of the Success Rate of Automatic
                 Generation of Procedural Programs with Variable
                 Initialization Using Genetic Programming",
  year =         "2014",
  month =        aug,
  pages =        "699--704",
  abstract =     "Genetic Programming (GP), a method of evolutionary
                 computation, is used in producing a variety of
                 programs. In order to generate a procedural program,
                 handling variables is required. It increases the number
                 of combinations of generated programs. This paper
                 proposes a method including the automatic
                 initialisation of variables and decreasing the number
                 of combinations of them. For this propose, two major
                 revisions are introduced. One is the introduction of
                 new parameters, the maximum depth and the minimum depth
                 of the height of a program tree. These make programs
                 easy to have a specific structure. The other is the
                 addition of genetic operations. These are for avoiding
                 convergence of programs. Owing to these revisions, it
                 is possible to improve the success rate of the
                 generation of program that includes all of
                 requirement.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/IIAI-AAI.2014.144",
  notes =        "Also known as \cite{6913388}",
}

Genetic Programming entries for F Horii Teruhisa Hochin Hiroki Nomiya

Citations