基于粒子群算法的防空兵力部署决策研究  

Region Air-Defense Deployment Decision Based on Particle Swarm Optimization

作　　者：孔祥宇[1] 李德华[1] 

机构地区：[1]华中科技大学自动化学院,武汉430074

出　　处：《计算机与数字工程》2016年第12期2320-2324,共5页Computer & Digital Engineering

摘　　要：论文将博弈论引入区域防空兵力部署问题,在衡量防空兵力空战能力指数的基础上,考虑战争中的不确定因素,引入随机修正因子,建立兵力部署博弈模型。利用粒子群算法求解模型的纳什均衡点,获取作战双方的混合策略。仿真实例证明了模型及算法的有效性。In this paper, a deployment game model is established based on game theory by measuring fighting-effective-ness for military aircraft. And a random correction factor is introduced by considering the unceparticle swarm optimization （PSO） algorithm is applied to the force deployment model to solvetaining mixed strategies for both sides. Finally , the simulation is demonstrated to and algorithm.

关 键 词：兵力部署 纳什均衡 粒子群算法 混合策略 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]