基于粒子群算法的编队防空武器目标分配研究

建立了舰艇编队防空作战的武器目标分配模型,提出了一种基于粒子群的求解算法。该粒子群算法利用粒子群的个体最优和全局最优粒子,采用了编码、交叉、变异和选择相结合的算子操作得到粒子的新个体。通过仿真测试表明了算法的可行性和有效性,尤其是在规模复杂问题中将更能体现算法的优越性。

Research on Weapon Target Assignment of Anti-air Warfare in the Formation Based on Particle Swarm Optimization

After establishing a weapon target assignment model of anti-air warfare in the formation,an algorithm based on particle swarm optimization is put forward to solve the model.In the particle swarm optimization,the new particle is refreshed by cross,mutation and selection operators according to optimal solutions of population and individual.After many experiments,the algorithm is proved to be feasible and effective,especially in solving large-scale problems.