利用协同优化方法实现复杂系统分解并行设计优化

介绍了应用于航空航天领域内复杂系统设计的协同优化算法，并针对现有协同优化算法中系统级协调算法计算量大且易发散等缺点，分析了协同优化系统级协调算法的几何意义，提出了一个新的概念：子问题间不一致信息，并在此基础上构建了一种新的系统级协调算法：动态松弛算法，相对于现有系统级协调算法，动态松弛算法的计算量更小，鲁棒性更好。用本文提出的动态松弛算法实现了一齿轮减速箱的齿和轴的并行设计，计算结果表明了本算法的有效性。

A new collaborative optimization algorithm and its applications to comples system parallel design

For complex system design in aeronautic and astronautic field,the conventional design strategy is computationally expensive and time-consuming.Collaborative Optimization (CO) is a promising method to solve this problem due to its parallel design strategy.CO divides the optimization problem into two levels: one system-level optimization and N parallel disciplinary-level optimizations.However,the consistence constraints make the system-level optimization unsolvable.In this paper we proposed a new concept of inter-disciplinary inconsistency information based on which the consistence constraints were slacked and a hyper-ball system-level design space was constructed.Comparing with the existing relaxation of system-level constrains,tolerance determined by this method is more reasonable for it is guaranteed for the solvability and takes the consistence into account simultaneously.Moreover comparing with the exiting response surface method,this method can reduce the computational job drastically.In the last section a gear reducer box design problem was divided into 2 parts:shaft design and gear design which were parallelly performed by the proposed method.The result shows its efficiency and precision.