Visualization as a Solution Aid for Multi-Objective Concurrent Subspace Optimization in a Multidisciplinary Design Environment

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.

[1]  Kemper Lewis,et al.  Visualization of multidimensional design and optimization data using cloud visualization , 2002, DAC 2002.

[2]  Christina Bloebaum,et al.  Incorporation of Preferences in Multi-Objective Concurrent Subspace Optimization for Multidisciplinary Design , 2004 .

[3]  Christina Bloebaum,et al.  Multi-Objective Pareto Concurrent Subspace Optimization for Multidisciplinary Design , 2004 .

[4]  Tom Davis,et al.  Opengl programming guide: the official guide to learning opengl , 1993 .

[5]  Christopher R. Johnson,et al.  The SCIRun Computational Steering Software System , 1997, SciTools.

[6]  Karsten Schwan,et al.  An annotated bibliography of interactive program steering , 1994, SIGP.

[7]  Eliot Winer,et al.  Development of visual design steering as an aid in large-scale multidisciplinary design optimization. Part I: method development , 2002 .

[8]  J. Dennis,et al.  A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems , 1997 .

[9]  Kemper Lewis,et al.  Multidimensional Design Visualization in Multiobjective Optimization , 2002 .

[10]  Timothy W. Simpson,et al.  Multidimensional Visualization and Its Application to a Design by Shopping Paradigm , 2002 .

[11]  James Arthur Kohl,et al.  Cumulvs: Providing Fault Toler. Ance, Visualization, and Steer Ing of Parallel Applications , 1996, Int. J. High Perform. Comput. Appl..

[12]  Xuan Chen,et al.  VISUALIZING THE OPTIMIZATION PROCESS IN REAL-TIME USING PHYSICAL PROGRAMMING , 1998 .