In this paper we consider the problem of finding optimal population designs for discrimination betweentwo nested nonlinear mixed effects models which differ in their intra-individual covariance matrix. Thecriterion proposed is a generalization of the T-optimality criterion. For this criterion an equivalence theorem is provided. The application of the criterion is illustrated with an example in pharmacokinetic.