High-dimension multi-objective design optimization of hybrid rocket motor for sub-orbit flight vehicle

Considering the complexity of system design optimization and the difficulty of applying the single objective optimization to find a global optimization solution, a four objective optimization model is established to complete the optimal design of the hybrid rocket motor for the sub-orbit flight vehicle. First, the hyperspace Pareto set is generated by using the non-dominated sorting genetic algorithm. Second, the hyper-radial visualization based on the variable preference range is applied to deal with the hyperspace Pareto set. Finally, the global optimization design of the hybrid rocket motor for the sub-orbit flight vehicle is found, the possibility of powering the sub-orbit flight vehicle with hybrid rocket motor is proved. The result indicates that the high-dimension multi-objective optimization model is accurate and the hyper-radial visualization based on variable preference rang is efficient.