作者: Robert Braun , Peter Gage , Ilan Kroo , Ian Sobieski
DOI: 10.2514/6.1996-4017
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摘要: Collaborative optimization is a multidisciplinary design architecture that well-suited to large-scale problems. This paper compares this approach with other architectures, examines the details of formulation, and some aspects its performance. A particular version proposed better accommodate occurrence multiple feasible regions. The use system level inequality constraints shown increase convergence rate. series simple test problems, demonstrated challenge related successfully solved collaborative optimization.