基于杂交粒子群算法的弹炮混编防空群火力优化模型

Optimization Model of Mixed Antiaircraft Group Missile and Artillery Based on Hybrid Particle Swarm Algorithm

针对弹炮混编防空群射击指挥中的火力分配问题,提出了弹炮混编防空群的火力分配方法,建立了优化的火力分配数学模型。在此基础上,借鉴遗传算法中的杂交概念,采用改进后的粒子群优化算法对此模型求解。通过算例和仿真结果与实际经验对比表明,改进粒子群优化算法是解决弹炮混编防空群火力优化分配问题的一种有效方法。

Aiming at the fire distribution of the fire command for mixed antiaircraft group of missile and artillery, a fire distribution method for mixed antiaircraft group of missile and artillery is presented, an optimization mathematical model is established. Based on this, draw lessons from the hybrid concept of genetic algorithm, adopt Enhanced particle swarm optimization algorithm to solve the allocation model. Through the contrast in conclusion from simulator and practice, it provides that Enhanced particle swarm optimization algorithm is valid method in solving fire allocation of hybrid antiaircraft group of missile and artillery.