This is the user guide of the graphical user interface (GUI) for Cloud Based Design Optimization (CBDO), cf. , implemented in Matlab. The GUI has been developed using the concept visualized in Figure 1. The designing expert provides an underlying system model – e.g., given as a black box model – and all currently available uncertainty information on the input variables of the model. The information is processed to generate a cloud that provides a nested collection of regions of relevant scenarios parameterized by a confidence level α. Thus we produce safety constraints for the optimization. The optimization minimizes a certain objective function (e.g., cost, mass) subject to the safety constraints to account for the robustness of the design, and subject to the functional constraints which are represented by the system model. The results of the optimization, i.e., the automatically found optimal design point and the worst-case analysis, are returned to the expert, who is given an interactive possibility to provide additional uncertainty information afterwards and rerun the procedure. The first two steps of the GUI represent the uncertainty elicitation, that is on the one hand, providing the initially available information (Sectio
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.