By introducing multiobjective handling mechanism of nondominated sorting and crowding, ability of distributed coevolutionary multidisciplinary design optimization algorithm is extended to multiobjective multidisciplinary design optimization (MDO) problems. The multiobjective distributed coevolutionary MDO approach maintains sufficient disciplinary autonomy, exploits synergism of disciplinary concurrent design optimizations, meanwhile it obtains a set of well distributed Pareto optimal solutions and makes a good approximation of the whole Pareto optimal front in one single run. It is applied to a missile design optimization problem with two system objectives and three disciplines－aerodynamic, engine, and control. Comparison with the results of the constraint method indicates that the multiobjective coevolutionary MDO approach can effectively approximate Pareto optimal front of the ploblem, providing plenty of information for design decision making.