Easy to Use and Efficient Optimization Tools in Industrial Engineering: A Strong Market Requirement
Carlos Kavka, ESTECO SpA
Industry requires that the optimization process in engineering applications should be not only fast and efficient but also straightforward and easy to be used for the engineers in charge of it. Two main factors conspire against this. On the one side, current complex multi-objective, multi-disciplinary and robust optimization technologies require specific knowledge and expertise to select the right optimization strategy, to set up the initial conditions and to select the right parameters. On the other side, the required simulation time for modern complex engineering models introduces limits on the number of individual evaluations that can be performed, becoming in fact, one of the most important constraints for the whole optimization process.
The talk will start with the presentation of real-world optimization examples from the aerospace, naval and transportation engineering fields in order to make clear the industrial requirements on optimization tools. After that, an example of a democratization approach to optimization will provide insights on how to make efficient and easy-to-use complex optimization technologies available to all users in the engineering industry.
Carlos Kavka has a PhD in Computer Science from the University of Paris Sud (France). He is currently the Head of Research and Development of ESTECO SpA (Italy), a company specialized in multi-objective and multi-disciplinary design optimization. In particular, he is in charge of the coordination of scientific, technical and technological aspects in most of the European research projects in which ESTECO SpA participates. Carlos Kavka has been an Instructor, Lecturer and co-Director of international workshops at the International Center for Theoretical Physics ICTP (Italy) since 1993 till 2012, Professor at the Universidad Nacional de San Luis (Argentina) from 1994 till 2005. He has also participated in research activities at the LHC-CMS CERN experiment from 2005 to 2007.