Research Area: | Research Publication | Year: | 2002 | ||
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Type of Publication: | Technical Report | ||||
Authors: | Eddy, John; Lewis, Kemper | ||||
Abstract: | As our ability to generate more and more data for increasingly large engineering models improves, the need for means of managing that data becomes greater. Information management from a decision-making perspective involves being able to capture and then represent significant information to a designer so that he or she can make effective and efficient decisions. However, most visualization techniques used in engineering, such as graphs and charts, are limited to two-dimensional representations and at most three-dimensional representations. In this paper, we present a technique used to capture and represent engineering information in a multidimensional context. In this paper, we present an overview of the technique and provide details regarding two specialized functions for use in multidimensional and multiobjective optimization. This method is part of an effort to develop a comprehensive visualization-based optimization tool for multi-objective and robust design problems |
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Comments: | Symposium on Multidisciplinary Analysis and Optimization |
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Full text: AIAA-2002-5621.pdf
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