Evolutionary method for railway monitoring systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Daian:2014:ICSTCC,
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author = "G. I. Daian and M. M. Santa and T. S. Letia",
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booktitle = "18th International Conference System Theory, Control
and Computing (ICSTCC 2014)",
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title = "Evolutionary method for railway monitoring systems",
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year = "2014",
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month = oct,
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pages = "627--632",
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address = "Sinaia, Romania",
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size = "6 pages",
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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.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/ICSTCC.2014.6982487",
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notes = "Also known as \cite{6982487}",
- }
Genetic Programming entries for
Ghita I Daian
Maria M Santa
Tiberiu S Letia
Citations