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331.
Bence Nemeth 《Defense & Security Analysis》2016,32(4):321-335
Hungary, a former communist state, adapted a Western-style defense planning system during the 1990s and 2000s. Although on the surface the elements of this planning system were similar to the planning programming budgeting system (PPBS) developed by the US Department of Defense, strategic guidance for defense planning has not been properly developed until recently. Thus, albeit PPBS-based defense plans were developed in the Hungarian Ministry of Defense (Hungarian MoD) regularly, they lacked both an expression of clear priorities and strategic focus. This article delineates the evolution of strategic guidance in the Hungarian MoD concentrating on current developments, and introduces the newly elaborated analytical concepts and tools, which helped to create needed strategic guidance in Hungary. 相似文献
332.
常规Capon波束形成器性能对模型误差或失配非常敏感,尤其是当期望信号包含在训练数据中,导向矢量失配将引起性能急剧下降。为解决这一问题,提出了一种采用干扰噪声协方差矩阵和导向矢量联合估计的稳健波束形成算法。该方法通过对Capon空间谱在非目标信号的方位区域内的积分,实现对干扰噪声协方差矩阵的估计,解决数据协方差矩阵包含有目标信号时引起信号自相消问题;其次为了克服导向矢量失配的影响,通过最大化输出功率,并增加二次型约束防止估计的导向矢量接近于干扰导向矢量,实现对导向矢量的估计。仿真实验表明:该算法能获得近似最优的输出信干噪比,与现有算法相比稳健性更强。 相似文献
333.
334.
针对我军配套装备器材订货的特点,在考虑库存容量空间限制与整套装备的最低期望满足率两种约束条件下,建立了配套装备器材的库存与运输优化模型,并应用改进的动态规划方法进行求解。结果表明:应用库存与运输的优化模型,在保障军事目标实现的前提下,有效地降低了物流成本。 相似文献
335.
海水中点电极对产生的电场研究 总被引:1,自引:0,他引:1
根据参考文献得到的海水中点电极电场计算公式,对位于海水平面上单个点电极在海水中的电场电位、电场强度进行了仿真计算,总结了电场分布规律及其影响因素。提出利用两个异号单电极组成电极对来模拟电极式扫雷具电场,并仿真计算了电极对的电场。最后,通过电极对和电偶极子的相似性验证了电极对模型的有效性。 相似文献
336.
337.
在流编程模型下建立了一个新的存储一致性模型--流一致性模型,它比传统的释放一致性模型更加松弛.讨论了流一致性模型对程序设计和系统设计的要求,给出了一个正确的系统实现,并且指出流一致性模型的编程和实现并不比现有的一致性模型复杂. 相似文献
338.
We consider a supply chain in which a retailer faces a stochastic demand, incurs backorder and inventory holding costs and uses a periodic review system to place orders from a manufacturer. The manufacturer must fill the entire order. The manufacturer incurs costs of overtime and undertime if the order deviates from the planned production capacity. We determine the optimal capacity for the manufacturer in case there is no coordination with the retailer as well as in case there is full coordination with the retailer. When there is no coordination the optimal capacity for the manufacturer is found by solving a newsvendor problem. When there is coordination, we present a dynamic programming formulation and establish that the optimal ordering policy for the retailer is characterized by two parameters. The optimal coordinated capacity for the manufacturer can then be obtained by solving a nonlinear programming problem. We present an efficient exact algorithm and a heuristic algorithm for computing the manufacturer's capacity. We discuss the impact of coordination on the supply chain cost as well as on the manufacturer's capacity. We also identify the situations in which coordination is most beneficial. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008 相似文献
339.
设 (E ,d ,W )是完备的凸度量空间 ,T :E→E是广义拟—压缩映象 ,{xn}为T的带误差项的Ishikawa迭代序列。则 {xn}收敛于T的唯一的不动点 p∈E。 相似文献
340.
In this study, we illustrate a real‐time approximate dynamic programming (RTADP) method for solving multistage capacity decision problems in a stochastic manufacturing environment, by using an exemplary three‐stage manufacturing system with recycle. The system is a moderate size queuing network, which experiences stochastic variations in demand and product yield. The dynamic capacity decision problem is formulated as a Markov decision process (MDP). The proposed RTADP method starts with a set of heuristics and learns a superior quality solution by interacting with the stochastic system via simulation. The curse‐of‐dimensionality associated with DP methods is alleviated by the adoption of several notions including “evolving set of relevant states,” for which the value function table is built and updated, “adaptive action set” for keeping track of attractive action candidates, and “nonparametric k nearest neighbor averager” for value function approximation. The performance of the learned solution is evaluated against (1) an “ideal” solution derived using a mixed integer programming (MIP) formulation, which assumes full knowledge of future realized values of the stochastic variables (2) a myopic heuristic solution, and (3) a sample path based rolling horizon MIP solution. The policy learned through the RTADP method turned out to be superior to polices of 2 and 3. © 2010 Wiley Periodicals, Inc. Naval Research Logistics 2010 相似文献