基于改进粒子群算法的联合火力打击目标分配研究  

Research on the Target Assignment for Joint Fires Attack Based on Improved Particle Swarm Optimization

作　　者：张勇涛[1,2] 余静[1] 张松良[1] 

机构地区：[1]解放军信息工程大学 [2]65549部队

出　　处：《指挥控制与仿真》2010年第1期41-44,共4页Command Control & Simulation

摘　　要：针对联合火力打击目标分配涉及影响因素多、存在大量参数和变量的特点,建立了联合火力打击目标分配模型,采用改进的粒子群算法探讨了目标最优化分配问题。对粒子群算法中解空间存在的可能解进行编码,将可能解进行交叉、变异和选择操作得到新的粒子个体,不断迭代,从而得到可行的最优解。通过对一个作战想定的多次仿真,进一步表明了算法的可行性和有效性,为指挥员科学决策提供了依据。The paper aims at the difficulty of target assignment for the joint fires attack, builds up an optimization model for the target assignment and probed into the problem based on the particle swarm optimization. It Encodes the solutions and gained the new particle units by intersected and aberrances the coding, iterative the operation until finding the best solution. After many experiments of a battle supposition ,it is proved to be feasible and effective, and it preferably satisfies the requirement of decision making for the commander.

关 键 词：目标分配 粒子群算法 分配模型 联合火力打击 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]