基于粒子群算法的火力最优分配  

Firepower Optimum Distribution Based on Particle Swarm Algorithm

作　　者：邢立新[1] 孙波[1] 陈明[1] 罗辉[1] 

机构地区：[1]解放军炮兵学院火控教研室,安徽合肥230031

出　　处：《兵工自动化》2007年第12期22-23,共2页Ordnance Industry Automation

摘　　要：针对炮兵战场多个目标和多个火力单位的复杂作战环境,运用粒子群优化算法的原理和其加以改进的方法,对炮兵火力单位的最优分配作了初步探讨,并与遗传算法加以比较,结果表明它比遗传算法在军事领域火力分配中寻找全局最优解更加快速可靠。To the complicated battle field environment of multi target and multi firepower units on the artillery battle field, apply the particle swarm optimization algorithm and progressive method, and discuss the optimization of artillery firepower units. It provides fast and reliable guarantee for searching the whole optimization answer in the firepower distribution of military field.

关 键 词：粒子群优化算法 火力单位 最优分配 

分 类 号：O224[理学—运筹学与控制论]