Towards an Optimization Platform (Bachelor seminar)

practice, there is a large number of solvers that can efficiently solve such problems. However, one
needs sufficient mathematical and computer science knowledge to model and solve a problem with a
solver. Since optimization problems occur wherever a decision has to be made with different
alternatives, linear optimization has a wide range of applications, which are often not directly related
to computer science or mathematics.
The goal is to develop a web platform that makes it as simple as possible to model an optimization
problem to be then solved by a solver. The modeling in the project is based on the Markup Language
for Mixed Integer Linear Programs [Bund-Becker '19] which will be also discussed and adapted in the thesis. In
addition, the platform provides the basis for further possible extensions, such as a user management
or a market for templates of modeled problems, which can be reused and shared.

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Meeting ID: 527 278 8807

Note: for people outside D1 interested in listening to this talk, please contact Sándor Kisfaludi-Bak at skisfalu@mpi-inf.mpg.de for the password.