Synthesis of train traffic control system with evolutionary computing

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@InProceedings{Kilyen:2014:ieeeICAQTR,
  author =       "A. O. Kilyen and M. Hulea and T. S. Letia",
  booktitle =    "IEEE International Conference on Automation, Quality
                 and Testing, Robotics",
  title =        "Synthesis of train traffic control system with
                 evolutionary computing",
  year =         "2014",
  month =        may,
  abstract =     "The purpose of this paper is to present a method of
                 control synthesis f o r a given train station system
                 and train set based on optimal resource scheduling. A
                 Genetic Algorithm was designed to resolve the resource
                 allocation problem in an example train traffic system
                 with three stations. A method of controller synthesis
                 based on Genetic Programming is also presented. This
                 method synthesises controllers that behaves according
                 to the obtained resource allocation tables. These
                 controllers are built based on Timed Petri Nets. The
                 possibility of minimal environmental change was also
                 added in order to obtain flexible and robust
                 controllers. Solution methods were proposed f o r this
                 extended problem.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/AQTR.2014.6857825",
  notes =        "Also known as \cite{6857825}",
}

Genetic Programming entries for Ors Kilyen Mihai Hulea Tiberiu S Letia

Citations