Collaborative optimization: an architecture for large-scale distributed design

摘要: Collaborative optimization is a design architecture specifically created for large-scale distributed-analysis applications. In this approach, problem decomposed along domain-specific boundaries into user-defined number of subspaces which are driven towards interdisciplinary compatibility and the appropriate solution by system-level coordination process. This approach allows issues to be accommodated disciplinary analysts, while requiring decisions reached consensus. practical environment, scheme has several advantages over traditional strategies. These advantageous features include reducing amount information transferred between disciplines, removal large iteration-loops, allowing use customized optimizers within subspace analyses, framework that easily parallelized operable on heterogeneous equipment, structural well-suited conventional organizations. dissertation, fundamental concepts leading development collaborative presented architecture's mathematical foundation discussed. The shown applicable any set arbitrarily-connected regardless coupling structure. Example applications in trajectory launch vehicle illustrate potential Applied multidisciplinary numerous operational demonstrated. direct result empowering decision process, thereby distributing authority as well analysis responsibility. While problem, characteristics best suited large-scale, highly-constrained, Because such problems common settings, should provide teams with an intriguing alternative current practices.