In response to the threat of aircraft being targeted by air-to-air missiles,a strategy involving the use of decoy for coordinated evasive maneuvers has been proposed. Firstly,a relative motion model between the aircraft,decoy,and incoming missile was established. Five control variables were set up to regulate the movements of the aircraft and the decoy. Based on the principles of coordinated missile evasion,this study divided the decoy’s working process into two stages and established key technical indicators for maneuver decision-making,which led to the development of a variable-weight optimal control computational model for coordinated maneuvers between the aircraft and the decoy to evade missile. Then,under the receding horizon control framework,multi-island genetic algorithm was employed to obtain a closed-loop solution for the optimization model,enabling the real-time provision of quantifiable maneuvering evasion strategies for the aircraft. Finally,the constructed coordinated evasion performance evaluation function was adopted to conduct a quantitative assessment of the optimization results from the aspects of evasion efficiency and safety distance. The results show that,under the selected condition,the aircraft can escape the missile’s field of view within 5.4 seconds and that when the missile hits the decoy,there is sufficient safety distance from the missile. After extensive Monte Carlo simulations,it is found that the optimized control model achieves a missile evasion success rate of 98.1%,significantly enhancing the survivability of our aircraft in combat.