Supervisor: Torsten Möller, Thomas Torsney-Weir
Can visualization beat traditional (offline) optimization problems? The goal of this project is to see how well visually guided optimization can compete with traditional optimization algorithms. Students will develop a visualization system to find optimum configurations of black box (i.e. unknown) algorithms from a contest.
Prerequisites: VIS, Mathematical Modeling
Programming languages: Javascript, (R or Python), and C++
Contact: Torsten Möller, Thomas Torsney-Weir