In a stochastic simulation context, iterative methods of optimization, which perform at each
step of their optimization procedure a comparison between two different values of the
objective function, need the use of statistical tests in order to properly evaluate and compare
the simulation results. However, when the objective function to be optimized is a multicriteria
function involving several performance measures, classical statistical procedures, which do
not take into account the correlation between the performance measures, could reject …