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.