Evaluation of Real-Time Requirements by Simulation Based Analysis

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@Article{BELSCHNER199619,
  author =       "R. Belschner",
  title =        "Evaluation of Real-Time Requirements by Simulation
                 Based Analysis",
  journal =      "IFAC Proceedings Volumes",
  year =         "1996",
  volume =       "29",
  number =       "6",
  pages =        "19--26",
  month =        nov,
  note =         "20th IFAC/IFIP Workshop on Real Time Programming 1995
                 (WRTP '95), Fort Lauderdale, USA, 6-10 November",
  keywords =     "genetic algorithms, genetic programming, SBSE, EPOSIX,
                 event driven simulation, distributed real-time systems,
                 timing requirements, worst case analysis, evolutionary
                 strategies",
  ISSN =         "1474-6670",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1474667017437414",
  DOI =          "doi:10.1016/S1474-6670(17)43741-4",
  size =         "8 pages",
  abstract =     "This paper addresses issues related to the software
                 design in distributed real-time automation systems.
                 Beside the influence of the real-time operating system
                 and the behaviour of the technical process, the
                 properties of the communication network play an
                 important part for the temporal correctness of the
                 software design. In consideration of the enormous
                 complexity, an attempt to improve the software
                 correctness concerning the temporal behaviour by a
                 three layered Simulation Based Analysis (SBA) System is
                 presented. The SBA system automatically evaluates
                 timing requirements, which can be specified by a
                 problem adapted language, and estimates the system's
                 behaviour in both the best case and especially the
                 worst case by using evolutionary strategies. The SBA
                 system is currently implemented into a prototype.",
  notes =        "Network, Ethernet, messages. Empirical fitness
                 landscape (fig 9) page 25.

                 University of Stuttgart",
}

Genetic Programming entries for R Belschner

Citations