Design Optimization Benchmarks

Benchmarks are cases that work as references for problem solving, in this case related to design optimization. They provide a platform of existing experiments on which scientists and engineers can compare the specific problems they are working with and the methods they are using. In addition, they can aid industry in closing the open-ended questions related to multidisciplinary problems and optimization and this way benefit business life as well.

In order to minimize errors in the results of a research, validating the used methods is important. The performance and reliability of the methods can be inspected by applying new techniques to existing problems and comparing the results to the benchmarks. Compiling these benchmarks together in one database ensures that they are easily accessible, but also provides a forum for scientist and engineers to interact with other experts on the field.

Below you can find some useful benchmark cases.

Reference: Tuovinen, T. & Varis, T. (2011) OPEN BENCHMARK DATABASE FOR MULTIDISCIPLINARY OPTIMIZATION PROBLEMS.  Conference paper: 11th International Conference on Modeling and Applied Simulation