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タイトルDevelopment and Application of the Collaborative Optimization Architecture in a Multidisciplinary Design Environment
本文(外部サイト)http://hdl.handle.net/2060/20040111288
著者(英)Braun, R. D.; Kroo, I. M.
著者所属(英)NASA Langley Research Center
発行日1995-08-14
言語eng
内容記述Collaborative optimization is a design architecture applicable in any multidisciplinary analysis environment but specifically intended for large-scale distributed analysis applications. In this approach, a complex problem is hierarchically de- composed along disciplinary boundaries into a number of subproblems which are brought into multidisciplinary agreement by a system-level coordination process. When applied to problems in a multidisciplinary design environment, this scheme has several advantages over traditional solution strategies. These advantageous features include reducing the amount of information transferred between disciplines, the removal of large iteration-loops, allowing the use of different subspace optimizers among the various analysis groups, an analysis framework which is easily parallelized and can operate on heterogenous equipment, and a structural framework that is well-suited for conventional disciplinary organizations. In this article, the collaborative architecture is developed and its mathematical foundation is presented. An example application is also presented which highlights the potential of this method for use in large-scale design applications.
NASA分類Cybernetics, Artificial Intelligence and Robotics
権利Copyright, Distribution as joint owner in the copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/88019


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