Abstract: Existing concurrent subspace optimization frameworks are generally just applicable to problems with only one objective in each subspace. To overcome such limitations, concurrent multi-objective subspace optimization (CMOSSO) is proposed which can improve the optimization process of each discipline from single-objective optimization to multi-objective optimization. By this means, more than one objective can be set in each subspace, design variables in different subspaces can overlap, and the Pareto front of the problem can be obtained in one run of optimization. The basic ideas and process of CMOSSO are introduced; new methods for disciplinary decomposition, concurrent subspace optimization,and synthesis of design variables at the system level are depicted. An aircraft conceptual design problem is taken as an example, which takes into account. Three disciplines including aerodynamics, stealth,and control, and the geometric parameters of wing and empennages as well as control rule parameters are optimized. Through this case, the effectiveness and advantage of CMOSSO over existing methods are validated.

Key words: multidisciplinary design optimization, multi-objective optimization, concurrent subspace optimization, conceptual design, flight control