针对战斗机使用空射诱饵进行一对一空战的攻击决策问题，提出了一种基于混沌粒子群算法的决策方法。建立了战斗机、空射诱饵和目标机的运动模型；在分析战斗机空战能力、空射诱饵欺骗能力和目标机威胁程度的基础上，建立了攻击决策指标函数；最后，建立了基于混沌粒子群算法的攻击决策模型。仿真结果表明，该方法可以使空射诱饵更好地发挥欺骗作用，提高战斗机生存能力。

In view of the attack decision-making of fighters with Miniature Air Launched Decoy (MALD) in the process of one-to-one air combat， a new method was proposed based on Chaos Particle Swarm Optimization (CPSO) algorithm.The motion models of the fighter， the MALD， and the target fighter were established.Based on the analysis to air combat capability of the fighter， deceit ability of MALD， and threat level of target fighter， the indicator function of attack decision-making was established.Finally， a model of the attack decision-making based on CPSO algorithm was established.Simulation results show that the new method can make MALD work better and improve the survivability of the fighter.