The Max Planck Institute Magdeburg invites you to its series of colloquia. Top-class scientists, invited by the Max Planck Institute Magdeburg, give a survey of their research work. Everybody who is interested, is invited to attend.
design is a multicriteria optimization problem. The first part of this talk is
dedicated to a review of adaptive scalarization techniques and their
application in chemical process design in an industrial context. This will also
include the treatment of uncertainties in model parameters.
In the second part of the talk, the use of machine-learning techniques in order to overcome typical challenges in nonlinear optimization will be discussed for specific examples. Among these challenges are, for example, the choice of suitable starting points, the description of feasible regions and the search for globally Pareto optimal points. An adaptive exploration scheme is presented and its potentials and limitations will be illustrated.