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One of the main goals when modeling a physical system is to optimize its design or conguration. Currently existing platforms are often dependent on commercial software or are based on in-house and special-purpose development tools. These two alternatives present disadvantages that limit sharing and reusability. The same assessment has partly motivated the origin of the Modelica language itself. In this paper, a new optimization platform called OMOptim is presented. Intrinsically linked with OpenModelica, this platform is mainly aimed at facilitating optimization algorithm development, as well as application use together with models. A rst version is already available and three test cases of which one using respectively Dymola and two using

Towards Design Optimization with OpenModelica Emphasizing Parameter Optimization with Genetic Algorithms