2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (2011)
June 14, 2011 to June 17, 2011
Automatic generation of simulation models has been a recurring topic in scientific papers for years. A common problem of all known model generation approaches is the generation of dynamic behavior, e.g. buffering or control strategies. This paper introduces a novel methodology for generation of dynamic behavior, based on artificial neural networks, which is usable directly in the simulation. We also test the approach in a manageable scenario; all results are illustrated via small simulation experiments.
Soren Stelzer, Soren Bergmann, "Approximation of Dispatching Rules in Manufacturing Control Using Artificial Neural Networks", 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, vol. 00, no. , pp. 1-8, 2011, doi:10.1109/PADS.2011.5936774