Somewhere between games and optimization, there is time-constrained optimization of car setups under uncertainty, as is usually done in real life, e.g., by technicians of a Formula-1 team. In cooperation with the CI in Games group at the Politechnico di Milano, the Computational Intelligence group at LsXI organized a 'near' real-world optimization challenge. The competition is over, but the software is still there:

Car Setup Optimization Competition Rules and Software

This year's winner is: Jorge Muñoz - Universidad Carlos III de Madrid, Spain

See here for a Result Presentation and a Video of Highlights