基于模拟退火算法对烟幕干扰弹投放策略的研究

Research on the Deployment Strategy of Smoke Screen Interference Bombs Based on Simulated Annealing Algorithm

摘要: 本文针对多架无人机投放多枚干扰弹遮蔽多枚导弹的复杂情形安排投放策略。分析每个物体的运动状态，建立物理运动学模型，以最大化有效遮蔽时间和最小化干扰弹投放数量为目标函数建立双目标非线性规划，使用模拟退火算法搜寻全局最优解，通过MATLAB求解，得到最优投放策略。

Abstract: This paper focuses on the deployment strategy of smoke screen interference bombs released by multiple unmanned aerial vehicles (UAVs) for shielding multiple incoming missiles. By systematically analyzing the motion states of all relevant objects (including UAVs, smoke screen interference bombs, and missiles) and establishing a precise physical kinematic model, a bi-objective nonlinear programming model is constructed. The objectives of this model are to maximize the effective shielding time of missiles and minimize the number of deployed interference bombs. To solve this model and obtain the global optimal solution, the simulated annealing algorithm is adopted, and the optimal deployment strategy is finally determined through MATLAB simulation and verification.