Monte Carlo Source Biasing Optimization

In this paper, a method of optimizing the selection of source particle parameters in Monte Carlo calculations is developed. This method is based on using information learned from previous histories to influence the selection of source particle parameters for subsequent histories. The results of a problem in which this source biasing optimization technique is applied to source energy biasing are presented.