Aircraft routing under the risk of detection

The deterministic problem for finding an aircraft's optimal risk trajectory in a threat environment has been formulated. The threat is associated with the risk of aircraft detection by radars or similar sensors. The model considers an aircraft's trajectory in three‐dimensional (3‐D) space and represents the aircraft by a symmetrical ellipsoid with the axis of symmetry directing the trajectory. Analytical and discrete optimization approaches for routing an aircraft with variable radar cross‐section (RCS) subject to a constraint on the trajectory length have been developed. Through techniques of Calculus of Variations, the analytical approach reduces the original risk optimization problem to a vectorial nonlinear differential equation. In the case of a single detecting installation, a solution to this equation is expressed by a quadrature. A network optimization approach reduces the original problem to the Constrained Shortest Path Problem (CSPP) for a 3‐D network. The CSPP has been solved for various ellipsoid shapes and different length constraints in cases with several radars. The impact of ellipsoid shape on the geometry of an optimal trajectory as well as the impact of variable RCS on the performance of a network optimization algorithm have been analyzed and illustrated by several numerical examples. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

基于移动Agent的特定数值求解算法研究

在分布式环境下,运用移动Agent技术实现大型复杂系统研究中经常使用的特定数值算法求解,可显著提高计算效率。以分支定界法为例,介绍了其设计思想和实践步骤,并对算法的时间复杂度进行了分析。     

A new energy efficient management approach for wireless sensor networks in target tracking

This paper mainly studied the problem of energy conserving in wireless sensor networks for target tracking in defensing combats. Firstly, the structures of wireless sensor nodes and networks were illustrated; Secondly, the analysis of existing energy consuming in the sensing layer and its calculation method were provided to build the energy conserving objective function; What's more, the other two indicators in target tracking, including target detection probability and tracking accuracy, were combined to be regarded as the constraints of the energy conserving objective function. Fourthly, the three energy conserving approaches, containing optimizing the management scheme, prolonging the time interval between two adjacent observations, and transmitting the observations selectively, were introduced; In addition, the improved lion algorithm combined with the Logistic chaos sequence was proposed to obtain sensor management schemes. Finally, simulations had been made to prove the effectiveness of the proposed methods and algorithm.     

非定常超音速流动数值计算方法比较

为适用于非定常流场计算 ,在保证时、空二阶精度的前提下 ,通过引入变系数残值光顺技术 ,提高了四步Runge Kutta方法的计算效率 ;并针对球锥简谐振动过程 ,数值比较Runge Kutta多步法和“双时间法”的计算精度。     

并联机构奇异点分析的新方法

根据并联机构位形空间的特点 ,采用微分几何和微分拓扑的方法 ,提出了一种并联机构奇异点的新的分类方法 ,即分为拓扑奇异点 ,参数化奇异点两种类型 ,并把它与现有的几种分类方法进行了比较。     

主方差分析方法

该文提出一种对高维随机向量 X=( x1 ,x2 ,… ,xp)′p× 1 进行降维处理的实用方法 ,其基本思想是利用矩阵的扫描运算 ,构造 X的很少几个综合指标 (称为主方差变量 )以反映 X的统计特性。给出了该方法的理论依据和直观解释以及算法。特别指出 ,当变量 X多重相关性突出时 ,该文方法显著地优于主成分分析方法。     

任务分配与调度中遗传算子的设计

应用遗传算法等进化方法进行任务分配与调度为越来越多的计算机学者们所关注。基于任务排列的知识表示 ,常规的标准遗传操作算子并不总是有效的。好的遗传算子对算法收敛性及收敛到好点是非常重要的。在列表编码的知识表示基础上 ,设计了三个有针对性的遗传算子 ,即改进的交配算子、内部交配算子和一种作为变异的迁移算子。模拟实验结果与分析表明这些算子对任务分配与调度是有效的。     

分形成像技术原理及应用方法

分形技术是一种新兴的随机成像技术,在各种仿真模拟领域得到了广泛应用。结合"双37小高炮训练模拟系统"实例,详细阐述如何运用分形技术随机生成天空背景的漫游图像。     

数据链规划问题的贪心算法

数据链是一种汇集通信、导航和识别的综合化战场信息系统。为了保证在960～1215MHz频段工作的各类设备的电磁兼容,数据链的使用必须符合操作约束和协调约束,必须在满足各类约束条件下,根据数据链的作战需求实现网络规划。首先分析了数据链存在的典型约束,在此基础上对数据链规划问题建模并提出了一种数据链规划的贪心算法,算法较好地解决了数据链规划问题。     

直接网络中的自适应路由算法分析

互连网络是大规模并行计算机的重要组成部分，路由算法是其中决定网络性能的重要因素，本文在直接网络结构基础上对路由算法进行讨论，给出了一种分类方法，并着重对采用虫孔路由开关技术的自适应路由算法进行分析，为进一步的评价和设计新的算法提供了参考。