Shubhangi G. Deshpande

Learn More
Today's modern conceptual aircraft designs exhibit a strong, nonlinear, interdisciplinary coupling and require a multidisciplinary, collaborative approach. Efficient transfer, sharing, and manipulation of aircraft design and analysis data in such a collaborative environment demands a formal structured representation of data. XML, a W3C recommendation, is(More)
SUMMARY Computational steering allows scientists to interactively control a numerical experiment and adjust parameters of the computation on-the-fly and explore " what if " analysis. Computational steering effectively reduces computational time, makes research more efficient, and opens up new product design opportunities. There are several problem solving(More)
A new Pareto front approximation method is proposed for multiobjective optimization problems with bound constraints. The method employs a hybrid optimization approach using two derivative free direct search techniques, and intends to solve blackbox simulation based multiob-jective optimization problems where the analytical form of the objectives is not(More)
The process of conceptual aircraft design has advanced tremendously in the past few decades due to rapidly developing computer technology. Today's modern aerospace systems exhibit strong, interdisciplinary coupling and require a multidisciplinary, collaborative approach. Efficient transfer, sharing, and manipulation of aircraft design and analysis data in(More)
(ABSTRACT) Today's modern aerospace systems exhibit strong interdisciplinary coupling and require a multidisciplinary, collaborative approach. Analysis methods that were once considered feasible only for advanced and detailed design are now available and even practical at the conceptual design stage. This changing philosophy for conducting conceptual design(More)
Large scale, multidisciplinary, engineering designs are always difficult due to the complexity and dimensionality of these problems. Direct coupling between the analysis codes and the optimization routines can be prohibitively time consuming due to the complexity of the underlying simulation codes. One way of tackling this problem is by constructing(More)
This paper presents a data driven, surrogate based optimization algorithm that uses a sequential approximate optimization (SAO) framework and a statistical sampling approach. The biggest concern in using the SAO framework based on statistical sampling is the generation of the required database. A data driven approach is proposed to tackle this situation,(More)
1 Overview In the last few lectures, we introduced three software tools for relational data mining: FOIL, CIGOL, and PROGOL. In this lecture we discuss one of them, PROGOL, in more detail and go through the development of PROGOL input files to get a better understanding of its syntax. 2 Developing an input file for PROGOL PROGOL is an ILP system which(More)
  • 1