On Performance Measures for Infinite Swapping Monte Carlo Methods
  We introduce and illustrate a number of performance measures for rare-event sampling methods. These measures are designed to be of use in a variety of expanded ensemble techniques including parallel tempering as well as infinite and partial infinite swapping approaches. Using a variety of selected applications we address questions concerning the variation of sampling performance with respect to key computational ensemble parameters. 
J. D. Doll and Paul Dupuis
cond-mat.stat-mech cond-mat.soft