基于方向概率和改进蜂群算法的地面防空武器组网系统优化布阵  

Optimization of Ground Anti-aircraft Weapon System Networks Based on Direction Probability and Algorithm of Improved Marriage in Honey Bee Optimization

作　　者：杨晨光[1] 陈杰[1] 涂序彦[1] 

机构地区：[1]北京理工大学信息科学技术学院

出　　处：《兵工学报》2008年第2期221-226,共6页Acta Armamentarii

基　　金：北京市教育委员会共建基金项目(XK100070532)

摘　　要：针对反低空小目标大组网系统的布阵问题,提出了一种基于方向概率的评估指标体系。通过计算随防御角度方向变化的总体毁伤概率,精细描述了大组网系统的效能,解决了覆盖面积等传统指标描述系统所带来的与真实效能不符的问题。利用sigmoid函数对计算结果进行变换并归一化,也很好地解决了大组网系统布阵与优化算法的衔接问题。提出衔接系数、重叠系数和覆盖系数,衡量各子网关系使其合理配置。最后应用改进的蜂群算法,对特定的阵地进行优化配置,对所提出的指标体系进行仿真。仿真结果表明:本文提出的基于方向概率的评估指标体系和改进的蜂群优化算法可以有效结合,并能很好地解决大组网系统的优化布阵问题。To solve the ground weapon network optimization problem against small object of low altitude, a new evaluation index system was proposed based on the concept of direction probability. By calculating the whole damage probability that follows with the change of the defending angle, the efficiency of the weapons networks was subtly described. With such method, the inconformity of the description obtained from the traditional index systems, such as those based on the covered area, was avoided. By transforming and regularizing the computation result with the Sigmoid function, the matching problem between the optimization algorithm and configuring the weapon array system was well settled up. Three new coefficients were also proposed, such as join-coefficient, overlap-coefficient and cover-coefficient, to manage the relationship among several sub-weapon-networks. The proposed index system was simulated by the algorithm of improved marriage in honey bee optimization which is applied to optimizing the configuration problem in the chosen area. The simulated results show that the proposed index system can effectively combine with the improved algorithm to settle up the ground weapon network optimization problem.

关 键 词：人工智能 效能 方向概率 改进的蜂群算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]