Monte Carlo based multi-vehicle mission effectiveness analysis is constrained by the computational resources and time required to perform non-trivial studies. Discrete event simulators offer the potential to significantly reduce the amount of processing that is required to perform such analyses. The issues associated with exploiting discrete event simulation architectures for performance improvement are discussed. Strategies for adaptively recognizing non-critical temporal intervals are presented. Pleiades, an implementation of a DEVS compliant mission effectiveness simulator, is discussed.
Daryl Ralph HildHessam S. SarjoughianBernard P. Zeigler
Bernard P. ZeiglerHessam S. SarjoughianVincent Au
Mark McKayMatthew AndersonRobert KinoshitaNicholas S. Flann