RAVE: A Graphically Driven Framework for Agile Design-Decision Support
Matthew J. Daskilewicz, Brian German · 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference · 2010
RAVE is a MATLAB-based decision support tool developed at Georgia Tech to enable rapid completion of common engineering tasks and to facilitate research of new decisionsupport techniques. RAVE implements extensive visualization, optimization, and metamodeling capabilities in a fully mouse-driven program that lets users complete these tasks in minimal time, with minimal eort. RAVE can work with static data sets or be used as a graphical front-end to directly drive analysis models. To enable research and development of new decision-support methods, many of RAVE’s functionalities are coded to use standardized interfaces so that users can develop and integrate their own customized methods. In this paper we introduce the RAVE framework, with an emphasis on the choice of visualization, interaction, and analysis techniques that have been implemented and the motivation behind these choices. Several use cases are presented to illustrate RAVE’s capabilities and applications.