Workshop / November 12, 2020 - November 13, 2020
Applications of Semi–Infinite Optimization
Semi-infinite optimization, i.e., the solution of optimization problems with infinitely many constraints (SIP), has been intensively studied over the last decades. The progress of computer technology has enhanced SIP methodology significantly. On the one hand, solution methods for this problem class have been increasingly developed and refined. On the other hand, high-dimensional problems, as they often occur in practice, have become numerically tractable. As a result, the range of possible applications has evolved considerably and semi-infinite optimization has been increasingly applied to practical problems in recent years.
In addition to the standard applications of semi-infinite optimization such as model approximation, design centering, robust optimization, and optimal control, SIP techniques have been recently used in machine learning, design of experiments, coverage issues and mixed stochastic-robust optimization. Thereby, SIP methods have been applied in application areas such as product portfolio optimization and process engineering.
The one and a half day workshop provides the opportunity to discuss and promote the use of semi-infinite optimization in practice with outstanding international scientists and application experts.
Due to developments concerning the spread of coronavirus in Germany, the workshop was postponed to November 12-13, 2020. Originally the reimbursement was planned for May 14-15, 2020.
Call for Talks
If you would like to give a talk on methods or applications of semi-infinite optimization, you are welcome. The time for presentation is 20 minutes + 5 minutes discussion. Please submit the title and a short description (max. 1.000 characters) of your presentation until September 30, 2020 using our online registration form.