军事云环境下基于动态博弈的资源调度方法

针对军事云环境下联合指挥资源调度优化问题,综合考虑了多部队任务需求,多目标优化,多部队资源竞争等约束条件,运用动态博弈理论及方法,建立并提出了一种基于完全信息扩展博弈的资源调度模型及方法,提高了资源调度效率,兼顾了多部队利益,增加了联合作战效益。最后通过实验验证了其有效性及准确性。     

A self‐adapting genetic algorithm for project scheduling under resource constraints

This papers deals with the classical resource‐constrained project scheduling problem (RCPSP). There, the activities of a project have to be scheduled subject to precedence and resource constraints. The objective is to minimize the makespan of the project. We propose a new heuristic called self‐adapting genetic algorithm to solve the RCPSP. The heuristic employs the well‐known activity list representation and considers two different decoding procedures. An additional gene in the representation determines which of the two decoding procedures is actually used to compute a schedule for an individual. This allows the genetic algorithm to adapt itself to the problem instance actually solved. That is, the genetic algorithm learns which of the alternative decoding procedures is the more successful one for this instance. In other words, not only the solution for the problem, but also the algorithm itself is subject to genetic optimization. Computational experiments show that the mechanism of self‐adaptation is capable to exploit the benefits of both decoding procedures. Moreover, the tests show that the proposed heuristic is among the best ones currently available for the RCPSP. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 433–448, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10029     

太空战及其对未来作战的影响

详细地叙述了太空战以及太空战对未来战争的影响。谁占据了太空,谁就能控制全球。太空战的出现将对未来的军事作战理论、武器装备的发展及技术走向产生深远的影响。     

装备维修资源优化中的模拟退火遗传算法

在对模拟退火遗传算法改进的基础上,结合建立的通信装备维修资源分配模型,给出了该算法的实现过程,并利用此算法对模型进行了最优化求解。实例的计算结果表明该算法对于模型的求解具有较好的收敛性。     

分层分布式分群监控体系下的网格资源发现机制

网格中资源发现机制是把资源提供者和资源请求者联系起来的重要环节.在分析分层分布式分群监控体系结构和现有资源发现机制的基础上,提出将集中式目录服务、资源路由表和移动代理三种机制相结合的网格资源发现机制.实验验证该机制在小范围内查找具有性能高效的特点,而在大范围内查找减少了资源发现代理的分发数量,降低了系统消息的负载,进而降低了网络资源的占用.     

A model to design recreational boat mooring fields

This article develops a mathematical model and heuristic algorithm to design recreational boating mooring fields. The boating industry is important to the Florida economy, and boat storage is becoming a concern among those in the industry. The mooring field design problem is formulated to maximize the total number of boat feet moored in the mooring field. In the model, we allow two adjacent moorings to overlap, which introduces a risk that under certain conditions the boats on these moorings could contact each other. We identify the conditions when contact is possible and quantify the probability of contact. The mooring field design problem is formulated as a nonlinear mixed‐integer programming problem. To solve the problem, we decompose it into two separate models, a mooring radii assignment model and a mooring layout model, which are solved sequentially. The first is solved via exhaustive enumeration and the second via a depth‐first search algorithm. Two actual mooring fields are evaluated, and in both cases our model leads to better layouts than ones experts developed manually. The mooring field design model rationalizes the mooring field design and shows that in one case by increasing the risk from 0 to 1%, the mooring efficiency increases from 74.8% to 96.2%. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009     

光互连网络中资源预留的多级光互连仲裁机制

基于资源预留策略提出一种多级光互连仲裁机制,通过将网络分级实现快速、高效的仲裁。多优先级数据缓存队列的传输节点设计,提供了不同类型流量的差异化传输;通过预约式两级仲裁机制,实现网络的完全公平与100%的高吞吐率。设计并对快速仲裁通道进行了合理布局,极大地缩短了仲裁延迟。仿真结果表明:采用基于资源预留的分级仲裁策略,在多种流量模式下所有节点均获得公平的服务。与Feather Weight相比,分级仲裁策略吞吐率提高17%;与2-pass相比,仲裁延迟减少15%,同时,功耗减少5%。     

基于高精度景象匹配的SAR平台定位方法

提出一种利用SAR图像与光学基准图高精度匹配实现SAR平台定位的方法。利用成像中间时刻SAR平台与SAR图像中心线上物点在水平面的投影共线的特性,在图像中心线上均匀选取若干点作为匹配点,并与光学基准图进行高精度景象匹配获取它们的物点坐标;根据这些物点坐标估计出图像中心线在当地水平面投影的直线方程;利用直线信息和斜距高度信息计算SAR平台在水平面上的投影点位置,进而计算得到成像中间时刻SAR平台的空间位置。为了进一步提高匹配精度,分别提出对正侧视和斜视SAR图像匹配区域进行几何粗校正的方法。还分析了不同误差因素对平台定位精度的影响,并给出精度估计公式。仿真和实际图像实验结果表明,方法正确可行,具有较高的定位精度,具备工程实用价值。     

惯性平台自标定中惯性仪表安装误差可观测性分析

针对惯性平台自标定中惯性仪表安装误差可观测性问题,深入研究了系统模型与平台坐标系对惯性仪表安装误差可观测性的影响。根据不同系统动力学模型和观测量构建四种系统模型。从可观测性定义出发,分析与判断惯性仪表安装误差在不同系统模型和不同平台坐标系下的可观测性。理论分析和仿真结果均表明惯性仪表安装误差在以下两种情况完全可观:观测量为平台框架角和加速度计输出,系统动力学模型为框架角模型,平台坐标系以平台六面体为基准定义;观测量为加速度输出,系统动力学模型为姿态角或失准角模型,平台坐标系以加速度计敏感轴为基准定义。     

蜂窝网络中基于干扰控制的D2D通信联合资源分配方案

在蜂窝网络中部署D2D(Device-to-Device)通信能够有效提升频谱利用率,降低基站负载,但D2D用户与蜂窝用户共享无线信道时会产生信号干扰。提出了一种联合资源分配算法,通过综合考虑信道分配对网络中已有的蜂窝用户和D2D用户的信号干扰,并在小区范围内寻找具有最小干扰值的信道资源分配给用户,以实现有效的干扰控制。仿真结果显示:联合资源分配能够提升D2D链路、蜂窝链路的信噪比及系统总吞吐量,使得蜂窝网络的整体性能优于独立资源分配。