Visualization as a Solution Aid for Multi-Objective Concurrent Subspace Optimization in a Multidisciplinary Design Environment
Chen-Hung Huang, Christina Bloebaum · 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference · 2004
An important consideration for large-scale multidisciplinary multi-objective problems pertains to the increasing large amounts of data being generated during the optimal design process. As computing power has advanced, design problems that can be modeled and analyzed have grown in numerical size, dimensionality, and complexity. As a result, engineers often face large and complex datasets. Traditionally, design information has been passed as numerous pages of printed data or in spreadsheet form. It is not always an easy task or even a practical one to analyze such large amounts of data. Therefore, it has become more crucial to develop new methods and tools to understand and interpret complex datasets. Visualization has proven to be a valuable tool in providing the needed increased understanding. In this paper, the Multi-Objective Pareto Front Visualization (MOPFV) interface, tailored for the Multi-Objective Concurrent Subspace Optimization methods developed in previous work, is proposed to enable such a need as mentioned above. This paper demonstrates how the interface can be used as an aid during the multi-objective optimization solution process.