Andreas Beham recently had to run some large parameter experiments in HeuristicLab - and by large we mean about 400 configurations per experiment and more than 27,000 individual runs. The goal of this experiment was to test several parameter configurations on a number of problem instances in order to find the configuration that performed best in those instances.

Andreas shares his thoughts on the design of large parameter experiments and how you can make them as memory-friendly as possible on the HeuristicLab Blog. The blog entry also comes with a helpful code sample that should get you started, if you face a similar problem. Comments and questions are of course always welcome, either directly via mail or in our google group!