Corresponding to computational difficulties encountered in the applications of CO(collaborative optimization), existing solutions were concluded. With transformed the system level optimization to unconstrained optimization problem, intelligence optimization algorithms should be chosen, but the computational burden should be controlled. A hybrid search algorithm was composed of chaos optimization and simplex method. Chaos could escape from local minima and approach the global minima, and simplex method was used to perform the local search in the neighborhoods of chaos optimization results. It was studied how to apply the CO to the conceptual design of a trunkliner. The subsystem levels were optimized by SQP(sequential quadratic programming), and the system level by the hybrid search algorithm. The numeric result indicates that the approach is effective.
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