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タイトルImplementation and Performance Issues in Collaborative Optimization
本文(外部サイト)http://hdl.handle.net/2060/20040110947
著者(英)Sobieski, Ian; Kroo, Ilan; Gage, Peter; Braun, Robert
著者所属(英)NASA Langley Research Center
発行日1996-01-01
言語eng
内容記述Collaborative optimization is a multidisciplinary design architecture that is well-suited to large-scale multidisciplinary optimization problems. This paper compares this approach with other architectures, examines the details of the formulation, and some aspects of its performance. A particular version of the architecture is proposed to better accommodate the occurrence of multiple feasible regions. The use of system level inequality constraints is shown to increase the convergence rate. A series of simple test problems, demonstrated to challenge related optimization architectures, is successfully solved with collaborative optimization.
NASA分類Systems Analysis and Operations Research
権利Copyright, Distribution as joint owner in the copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/88073


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