optimization, based on Kriging (also called Gaussian process or spatial correlation modeling); this Kriging is used to analyze the … improvement" (EI) in "efficient global optimization" (EGO) through the introduction of an unbiased estimator of the Kriging …

computing the L1- median are available. Problem speci c algorithms can be used, but also general optimization routines. The aim … based on the optimization routine NLM (non- linear minimization) clearly outperforms other approaches. Its low computation …

This paper presents a new sequential method for constrained non-linear optimization problems.The principal … problems are common in design optimization, where time consuming function evaluations are carried out by simulation tools (e ….g., FEM, CFD).Classical optimization methods, based on derivatives, are not applicable because often derivative information is …

optimization, especially the robust quadratic matrix inequalities and the robust linear programming models.In the latter …