由子系统主导的协同优化算法

Subsystem Leading Collaborative Optimization Method

针对多学科设计优化中的协同优化算法在应用时存在不可避免的困难,在标准协同优化问题分解模式的基础上提出了一种改进算法SLCO(Subsystem Leading Collaborative Optimization)。SLCO充分利用了子系统优化结果来产生新的系统级期望值,将优化目标和耦合处理都交给子系统来完成。从数学上证明了该算法的收敛性,并用测试算例进行验证,结果表明,该算法稳定,寻优效果好,并且有一定的灵活性。

Collaborative Optimization method of MDO has some unavoidable difficult in application, and an improved method SLCO （Subsystem Leading Collaborative Optimization） which is based on the frame of original Collaborative Optimization was presented. The information of subsystem solutions was used fully to generate the next anticipant solution, tasks of optimization and coupling processing were executed by subsystem. The convergence of SLCO has been proved, and the results of test problem indicate that SLCO is stable, effective and flexible.