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Regression analysis as a design optimization toolThe optimization concepts are described in relation to an overall design process as opposed to a detailed, part-design process where the requirements are firmly stated, the optimization criteria are well established, and a design is known to be feasible. The overall design process starts with the stated requirements. Some of the design criteria are derived directly from the requirements, but others are affected by the design concept. It is these design criteria that define the performance index, or objective function, that is to be minimized within some constraints. In general, there will be multiple objectives, some mutually exclusive, with no clear statement of their relative importance. The optimization loop that is given adjusts the design variables and analyzes the resulting design, in an iterative fashion, until the objective function is minimized within the constraints. This provides a solution, but it is only the beginning. In effect, the problem definition evolves as information is derived from the results. It becomes a learning process as we determine what the physics of the system can deliver in relation to the desirable system characteristics. As with any learning process, an interactive capability is a real attriubute for investigating the many alternatives that will be suggested as learning progresses.
Document ID
19870002321
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Perley, R.
(Kaman Aerospace Corp. Bloomfield, CT, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1984
Publication Information
Publication: NASA. Langley Research Center Recent Experiences in Multidisciplinary Analysis and Optimization, Part 2
Subject Category
Numerical Analysis
Accession Number
87N11754
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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