对装备需求的辨证认识

分析了装备发展的根本原因和装备需求的本质,提出装备需求同时具有客观性和主观性2种性质。阐述r客观与主观装备需求的主要特点和相互关系,以及认清装备需求的本质对装备需求开发乃至装备发展工作的现实意义。提出发挥人的主观能动性,创新装备需求,是实现装备科学发展和扭转装备发展被动局面的最佳途径。     

基于模糊聚类方法的机场目标选择模型

在现代战争中,机场作为一个战略级别的目标,要发挥其整体的作用需要目标群中的每个子目标都能最大限度地相互配合,使其本身的价值充分地体现出来.针对当前在目标选择上片面的问题,根据模糊聚类方法的基本原理,结合机场本身的特征进行改进,构建了机场目标选择模型,通过计算,证明可以克服以往目标打击方案界定的不明确性,避免了选择目标的单一化.     

基于Petri网的指挥流程建模与优化

鉴于Petri网在企业业务流程优化与重组方面的成功运用,遂将Petri网原理应用于作战指挥流程的建模与优化,以期获得最优作战指挥流程.文中首先阐述Petri网基本原理,然后介绍指挥流程建模的Petri网模型,最后给出指挥流程优化的原则及基本模型,并利用Petri网对指挥流程进行建模和优化,结果表明Petri网理论能够明显优化作战指挥流程.提高作战指挥效率.     

防空组网雷达“四抗”能力综合评估

为正确评估防空组网雷达"四抗"能力,结合雷达组网的因素分析,建立了组网雷达系统层次结构模型,并利用层次分析法确定了各因素的权重,用最优指标法得出指标层的得分值,提出了组网雷达"四抗"综合能力量化评估方法.其评估结果在一定程度上为组网雷达性能优化提供了决策依据.     

含禁忌算子的遗传算法在水面舰艇编队防空作战目标分配中的应用

针对水面舰艇编队的垂直发射防空火力单元具有多个火力通道,可同时对抗多个目标的特点,建立目标分配模型,并引入禁忌搜索,设计了含禁忌算子的遗传算法,通过实例进行仿真。结果表明,获得最优解的概率比采用简单遗传算法提高了10倍,收敛代数也缩小到原来的10％,优势明显。     

后勤决策模拟含义之我见

准确后勤决策模拟含义,对促进后勤决策模拟事业发展具有重要意义。从概念构成、现实需求和时代条件三个角度综合分析,后勤决策模拟的含义应是：利用现代建模和仿真技术,以较少的资源消耗,严格预演各个后勤决策备选方案,比较直观、准确地反映和对比其实现经济资源与军事需求平衡的情况,及其达到的经济性、技术性和社会性指标。     

认知无线电与频谱管理

当前的频谱管理采用固定频谱分配策略,频谱资源被分配给固定的授权用户,从而造成了频谱资源的浪费。认知无线电技术是一种智能无线电通信技术,它能够大幅度提高系统的频谱利用率,有效解决目前的频谱资源匮乏问题。因此,认知无线电技术的出现必将对现有的频谱管理策略产生一定的影响。文中主要介绍了认知无线电的基本概念和频谱管理技术,并对认知无线电下的频谱管理提出了一些看法和建议。     

A two‐echelon inventory‐location problem with service considerations

We study the problem of designing a two‐echelon spare parts inventory system consisting of a central plant and a number of service centers each serving a set of customers with stochastic demand. Processing and storage capacities at both levels of facilities are limited. The manufacturing process is modeled as a queuing system at the plant. The goal is to optimize the base‐stock levels at both echelons, the location of service centers, and the allocation of customers to centers simultaneously, subject to service constraints. A mixed integer nonlinear programming model (MINLP) is formulated to minimize the total expected cost of the system. The problem is NP‐hard and a Lagrangian heuristic is proposed. We present computational results and discuss the trade‐off between cost and service. © 2009 Wiley Periodicals, Inc. Naval Research Logistics 2009     

Approximation algorithms for general one‐warehouse multi‐retailer systems

Logistical planning problems are complicated in practice because planners have to deal with the challenges of demand planning and supply replenishment, while taking into account the issues of (i) inventory perishability and storage charges, (ii) management of backlog and/or lost sales, and (iii) cost saving opportunities due to economies of scale in order replenishment and transportation. It is therefore not surprising that many logistical planning problems are computationally difficult, and finding a good solution to these problems necessitates the development of many ad hoc algorithmic procedures to address various features of the planning problems. In this article, we identify simple conditions and structural properties associated with these logistical planning problems in which the warehouse is managed as a cross‐docking facility. Despite the nonlinear cost structures in the problems, we show that a solution that is within ε‐optimality can be obtained by solving a related piece‐wise linear concave cost multi‐commodity network flow problem. An immediate consequence of this result is that certain classes of logistical planning problems can be approximated by a factor of (1 + ε) in polynomial time. This significantly improves upon the results found in literature for these classes of problems. We also show that the piece‐wise linear concave cost network flow problem can be approximated to within a logarithmic factor via a large scale linear programming relaxation. We use polymatroidal constraints to capture the piece‐wise concavity feature of the cost functions. This gives rise to a unified and generic LP‐based approach for a large class of complicated logistical planning problems. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009     

用于电压岛式功耗管理的无运放结构高精度电流采样电路

电压岛式的功耗管理在大规模SoC芯片中的应用越来越广泛,由于负载电流是反映功耗最直接的物理量,因此对负载电流的实时、精确采样是对功耗进行精确管理和控制的基础,而低压大电流又是当前大规模芯片的基本特征.在分析了几种常用的电流采样技术的基础之上,提出了一种基于电流镜采样的高精度的电流采样方案,适合于低电源电压供电,并且不需要使用运算放大器,结构简单.基于0.18μm CMOS工艺实现了该电流采样电路,各种条件下的版图模拟结果表明,对于60～1300mA的负载,该电路的采样精度最高可达99.1%,并且自身功耗不超过4mW.利用该电流采样电路,可以对负载电流进行实时有效的高精度侦测,用以作为功耗管理的依据.