A hybrid optimization method combining the evolutionary algorithm and the collocation method was presented for solving the MTOP (multiobjective trajectory optimization problem) of the hypersonic glider vehicle, in which the efficiency and accuracy were balanced. According to the flight dynamic equation of the glider vehicle and the constraint condition arising in the design of the glider vehicle trajectory, the multiobjective trajectory optimization model was developed. The MTOP was transformed into the multiobjective parameter optimization problem with constraints by using the control variables discretization method; the constraint condition was dealt with the penalty function method, and the MOEA/D (multiobjective evolutionary algorithm based on decomposition) was employed to solve the problem. In order to improve the accuracy of the result, the ellipsoid aggregation method was integrated into the collocation method, in which the Pareto solution produced by the MOEA/D was the initial solution. Simulation results for MTOP with the complicated constraints demonstrate that the proposed hybrid method can generate a set of Pareto solutions, in which the gliding trajectories satisfy all the complicated constraints.