Evolutionary method for railway monitoring systems

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

@InProceedings{Daian:2014:ICSTCC,
  author =       "G. I. Daian and M. M. Santa and T. S. Letia",
  booktitle =    "18th International Conference System Theory, Control
                 and Computing (ICSTCC 2014)",
  title =        "Evolutionary method for railway monitoring systems",
  year =         "2014",
  month =        oct,
  pages =        "627--632",
  address =      "Sinaia, Romania",
  size =         "6 pages",
  abstract =     "The paper presents an evolutionary method based on
                 genetic programming (GP) for synthesising of a monitor
                 alarm system for the railway control traffic unit.
                 Automatic supervision of railway traffic control is a
                 very important and complex task. A wrong control signal
                 can lead to very serious incidents or accidents. A
                 well-designed monitoring system can prevent these
                 accidents by a simple alarm which signals the
                 appearance of a wrong control signal. The railway
                 network or the plant is modelled by Delay Time Petri
                 Nets (DTPN) and the railway traffic control unit by
                 Time Petri Nets (TPN). The alarm monitor contains
                 transitions joined to the plant and control unit in
                 order to achieve the information on the positions of
                 trains, respectively the control signals of the control
                 unit, and generates an alarm whenever the control
                 signal can cause to an incident or accident. The TPN
                 model of the monitor system is generated by means of
                 the genetic programming method using a Lisp
                 representation of the solution.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICSTCC.2014.6982487",
  notes =        "Also known as \cite{6982487}",
}

Genetic Programming entries for Ghita I Daian Maria M Santa Tiberiu S Letia

Citations