Application of an improved collaborative optimization method for tactical missile optimization

Collaborative optimization (CO) is a design architecture which maximumly preserves autonomy and modularization of disciplines, and has been successfully applied to a large numbers of practical design problems. But some serious computational difficulties are found in its application. Reasons that cause computational difficulties in CO were analyzed and a new improved collaborative optimization method (ICO) was presented. The L₁ norm was used to improve subsystem consistency constraint and to avoid discontinuities in subsystem object function derivatives. L1 norm penalty function was added to system-level object function to convert constrained optimization into unconstrained optimization. A quick-start strategy was used to make the best use of optimal solution of system-level optimization in subsystem-level optimization. We applied ICO method to a practical tactical missile optimization. Results show that the robustness, reliability and computing efficiency of ICO are higher than CO.