基于KS函数的协同优化算法及其应用

多学科设计优化(MDO)是当前航空航天复杂系统设计研究中一个最新、最活跃的领域,针对多学科设计优化中协同算法优化过程中存在的收敛困难、计算量大、费时等问题,提出一种新的系统级约束处理方法,利用KS函数的凝聚特性,将系统级的多个学科约束凝聚成一个拥有光滑高阶可微的可行域单约束,来取代罚函数法中的多个约束,以缓解多约束之间的冲突并加速收敛速度.利用两个典型算例进行测试,结果表明改进方法有效.

Collaborative Optimization Based on KS Function and Its Application

Recently,MDO(Multidisciplinary design optimization)is one of the latest and the most active fields in complex system design research for aerospace.Because the normal conventional collaborative optimization strategy is hard-convergent,computationally expensive and time-consuming,a new constraint method is introduced in system level.It puts several constraints in disciplines into one smooth and differentiable constraint by using the condensation characteristic of KS function,and replaces the constraints in th...