R. Braun and I. Kroo. Development and application of the collaborative optimization architecture in a multidisciplinary design environment. In Multidisciplinary Design Optimization: State of the Art. SIAM, 1996. Home/Search Document Details and Download
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A Coupled-Adjoint Method for High-Fidelity Aero-Structural.. - Martins (2002) (1 citation) (Correct)
....by Sobieski and Haftka [65] and Alexandrov and Hussaini [3] present excellent descriptions of the various existing strategies for MDO. A number of ideas for solving complex MDO problems have been developed. These ideas include multilevel optimization strategies [4, 35] collaborative optimization [12, 37, 17], individual discipline feasible methods [16] as well as integrated coupled optimization procedures [23, 49, 43, 45, 44] Unfortunately, most of the MDO so far has featured low fidelity models of the participating disciplines. However, during the past decade high fidelity methods for analysis of ....
R. Braun and I. Kroo. Development and application of the collaborative optimization architecture in a multidisciplinary design environment. In Multidisciplinary Design Optimization: State of the Art. SIAM, 1996.
Hierarchical Overlapping Coordination Under.. - Michelena, Park.. (1998) (Correct)
....Haftka [13] Recently, Nelson and Papalambros [5] presented Sequentially Decomposed Programming as a globally convergent coordination scheme for hierarchic systems. Other promising coordination algorithms, including concurrent subspace optimization (CSSO) 12] and collaborative optimization (CO) [3] for non hierarchic systems, still require further in depth study of their robustness and convergence properties. 2 Hierarchical Overlapping Coordination Dependence of design functions on variables can be represented by a Boolean matrix termed the functional dependence table (FDT) The (i, j) th ....
R. D. Braun and I. M. Kroo. Development and application of the collaborative optimization architecture in a multidisciplinary design environment. In N. Alexandrov and M. Hussaini, editors, Multidisciplinary Design Optimization: State of the Art, pages 98--116. SIAM, 1997.
Convergence Criteria for Hierarchical Overlapping.. - Park, Michelena.. (1998) (1 citation) (Correct)
....[25] Recently, Nelson and Papalambros [19] presented sequentially decomposed programming (SDP) as a globally convergent coordination scheme for hierarchic systems. Other promising coordination algorithms, including concurrent subspace optimization (CSSO) 24] and collaborative optimization (CO) [4] for nonhierarchic systems, require further study of robustness and convergence properties. Interest in HOC here is motivated by the desire to solve decomposed problems rigorously, rather than to achieve computational speed ups. 2 HOC Under Linear Equality Constraints In the case of linear ....
R. Braun and I. Kroo. Development and application of the collaborative optimization architecture in a multidisciplinary design environment. In N. Alexandrov and M. Hussaini, editors, Multidisciplinary Design Optimization: State of the Art, pages 98--116. SIAM, 1997.
"When I was a student in college, just flying an airplane.. - June The Cardinal Self-citation (Kroo) (Correct)
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Braun, R.D. and Kroo, I.M. "Development and Application of the Collaborative Optimization Architecture in a Multidisciplinary Design Environment." Multidisciplinary Design Optimization: State of the Art. Eds. N. Alexandrov and M.Y. Hussainin. Philadelphia, Society for Industrial and Applied Mathematics, 1995.
Use Of The Collaborative Optimization Architecture For Launch.. - Braun Moore (1996) (2 citations) Self-citation (Braun Kroo) (Correct)
....objective. This decomposition strategy allows for the use of existing disciplinary analyses without major modification and is also well suited to parallel execution across a network of heterogeneous computers [15] Development of the collaborative optimization architecture is described in Refs. [14, 16, 17]. Comparison to other optimization architectures is made in Refs. 14, 17] The architecture has been successfully used to solve several analytic test problems [14, 18] trajectory optimization problems [14, 16] and aircraft design problems [15, 19] The present investigation focuses on the ....
....Development of the collaborative optimization architecture is described in Refs. 14, 16, 17] Comparison to other optimization architectures is made in Refs. 14, 17] The architecture has been successfully used to solve several analytic test problems [14, 18] trajectory optimization problems [14, 16], and aircraft design problems [15, 19] The present investigation focuses on the application of this architecture to the multidisciplinary design of a single stageto orbit launch vehicle. Additional insight into this application is provided in Ref. 14] Nomenclature A nozzle area, ft 2 c ....
Braun, R., and Kroo, I., "Development and Application of the Collaborative Optimization Architecture in a Multidisciplinary Design Environment," in Multidisciplinary Design Optimization: State of the Art, SIAM, 1996.
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R. Braun and I. Kroo. Development and application of the collaborative optimization architecture in a multidisciplinary design environment. In Multidisciplinary Design Optimization: State of the Art. SIAM, 1996.
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R. Braun and I. Kroo. Development and application of the collaborative optimization architecture in a multidisciplinary design environment. In Multidisciplinary Design Optimization: State of the Art. SIAM, 1996.
Implementation Study of Implicit Uncertainty Propagation (IUP).. - Gu, Renaud (Correct)
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Braun, R.D., Kroo, I.M., (1997), "Development and Application of the Collaborative Optimization Architecture in a Multidisciplinary Design Environment, " Multidisciplinary_ Design Optimization State of the Art, N. Alexandrov and M.Y. Hussaini (Ed.), SIAM Series: Proceedings in Applied Mathematics 80, pp. 98- 116.
Advancement Of Bi-Level Integrated System Synthesis.. - Jaroslaw.. (Correct)
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Braun, R. D., and Kroo, I.M.: Development and Applications of the Collaborative Optimization Architecture in a Multidisciplinary Design Environment, SIAM Journal on Optimization, Alexandrov, N, and Hussaini, M. Y., (eds), 1996.
Algorithmic Perspectives on Problem Formulations in MDO - Alexandrov, Lewis (2000) (1 citation) (Correct)
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R. D. Braun and I. M. Kroo. Development and application of the collaborative optimization architecture in a multidisciplinary design environment. In N. M. Alexandrov and M. Y. Hussaini, editors, Multidisciplinary Design Optimization: State of the Art, pages 98--116. SIAM, 1997.
Analytical and Computational Properties of Distributed.. - Alexandrov, Lewis (2000) (1 citation) (Correct)
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R. D. Braun and I. M. Kroo. Development and application of the collaborative optimization architecture in a multidisciplinary design environment. In N. M. Alexandrov and M. Y. Hussaini, editors, Multidisciplinary Design Optimization: State of the Art, pages 98--116. SIAM, 1997.
Hierarchical Overlapping Coordination for.. - Michelena, Park.. (1999) (2 citations) (Correct)
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Braun, R. and Kroo, I., "Development and application of the collaborative optimization architecture in a multidisciplinary design environment," in Multidisciplinary Design Optimization: State of the Art (Alexandrov, N. and Hussaini, M., eds.), pp. 98--116, SIAM, 1997.
Multidisciplinary Aerospace Design Optimization: Survey of Recent .. - Haftka (1996) (Correct)
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Braun, R. D.; and Kroo, I. M.: Development and Application of the Collaborative Optimization Architecture in a Multidisciplinary Design Environment. Multidisciplinary Design Optimization: State of the Art, N. Alexandrov and M. Y. Hussaini, eds., SIAM J. Optimization , 1995.
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