Optimization Library for Interactive Multi-Criteria Optimization Tasks

The commercial library Optimization 2.1 for interac-tive multi-criteria optimization tasks has been re-leased along with Dymola 2013. The library offers several numerical optimization algorithms for solv-ing different kinds of optimization tasks. User de-fined Modelica functions or models provide the basis for an interactive optimization process where the user keeps overview of complex multi-criteria opti-mization tasks that can take discrete parameters, sev-eral model operating points or trajectories into ac-count. Computational performance of optimization runs can be significantly increased by parallel nu-merical integrations of the Modelica model on multi-core machines