HV Penetrating Trajectory Planning Based on MPQMEA Algorithm

Aiming at the characteristics of Hypersonic Vehicle(HV) path planning, such as multiple costs, numerous constraints, strong constraints and strong coupling relations, a HV path planning method based on multi-universe parallel quantum multi-objective evolutionary algorithm is proposed. By introducing multi-universe parallel computing, better individual allocation, optimal individual retention mechanism and communication mechanism between the universes, this method effectively strengthens the direction of search and improves the overall search efficiency of the algorithm. The simulation results show that the multi-universe parallel quantum multi-objective evolutionary programming method, considering the threat and turn constraints, can effectively avoid falling into local optimum and get better penetration paths to meet the requirements of threat and turn constraints quickly.