Real Time Estimation of Bayesian Networks
  For real time evaluation of a Bayesian network when there is not sufficient
time to obtain an exact solution, a guaranteed response time, approximate
solution is required. It is shown that nontraditional methods utilizing
estimators based on an archive of trial solutions and genetic search can
provide an approximate solution that is considerably superior to the
traditional Monte Carlo simulation methods.
