Meta-Heuristic Optimization tries to find the best and fastest possible solutions. The algorithm performance has two aspects: Solution quality and required runtime. Which algorithm is best for a specific application, which parameter settings result in the best performance? How to find the simplest and best algorithm without much effort? Prof. Weise presented the project "optimizationBenchmarking.org" as a solution to this question. The project helps researchers in optimization and machine learning to fully understand their algorithms and problems and to develop better and more robust algorithms. It also helps practitioners in an application area to understand which optimization/machine learning methods are best suited to their specific needs. The SFB employees from the subprojects A3, A7, D1, T3 were allowed to participate in this exciting workshop and discussion.
We thank Prof. Weise for his visit and wish him all the best and much success in the professional field.