大区域防空作战条件下防空兵作战方案的优选

大区域防空作战条件下防空作战指挥决策往往面临的是多目的(指标)决策,在分析作战指标的基础上对所选作战方案的益损值进行标准化处理和贴近度排序,并求出各方案的排序频数,将其转化为最优线性分派模型进行优化,从而使所有方案得到总体最优排序。     

基于．NET的装备保障辅助决策系统（ESADS）的设计与实现

介绍了一种基于.NET框架的异构数据库应用系统的集成方法,并设计开发了战时装备保障辅助决策系统。该方法利用XML的特点和.NET技术,将原有的应用系统数据源与系统分离,并能在各异构数据库之间快速交互数据,从而共享原有的装备管理信息,为战时装备保障决策提供数据资源。     

Modeling multiple stage manufacturing systems with generalized costs and capacity issues

This study introduces one modeling methodology that describes a broad range of multiple stage production planning issues, including multiple limited resources with setup times and joint fixed cost relationships. An existing production system is modeled in this fashion, creating a new set of 1350 highly generalized benchmark problems. A computational study is conducted with the 1350 benchmark problems introduced in this paper and 2100 benchmark problems, with more restrictive assumptions, from the existing literature. The relative merits of a decomposition‐based algorithm and a neighborhood search technique known as NIPPA, or the Non‐sequential Incremental Part Period Algorithm, are assessed. NIPPA is generally the more successful of the two techniques, although there are specific instances in which the decomposition‐based algorithm displayed a distinct advantage. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005     

Efficient sequential decision‐making algorithms for container inspection operations

Following work of Stroud and Saeger (Proceedings of ISI, Springer Verlag, New York, 2006) and Anand et al. (Proceedings of Computer, Communication and Control Technologies, 2003), we formulate a port of entry inspection sequencing task as a problem of finding an optimal binary decision tree for an appropriate Boolean decision function. We report on new algorithms for finding such optimal trees that are more efficient computationally than those presented by Stroud and Saeger and Anand et al. We achieve these efficiencies through a combination of specific numerical methods for finding optimal thresholds for sensor functions and two novel binary decision tree search algorithms that operate on a space of potentially acceptable binary decision trees. The improvements enable us to analyze substantially larger applications than was previously possible. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

Production‐inventory systems with imperfect advance demand information and updating

We consider a supplier with finite production capacity and stochastic production times. Customers provide advance demand information (ADI) to the supplier by announcing orders ahead of their due dates. However, this information is not perfect, and customers may request an order be fulfilled prior to or later than the expected due date. Customers update the status of their orders, but the time between consecutive updates is random. We formulate the production‐control problem as a continuous‐time Markov decision process and prove there is an optimal state‐dependent base‐stock policy, where the base‐stock levels depend upon the numbers of orders at various stages of update. In addition, we derive results on the sensitivity of the state‐dependent base‐stock levels to the number of orders in each stage of update. In a numerical study, we examine the benefit of ADI, and find that it is most valuable to the supplier when the time between updates is moderate. We also consider the impact of holding and backorder costs, numbers of updates, and the fraction of customers that provide ADI. In addition, we find that while ADI is always beneficial to the supplier, this may not be the case for the customers who provide the ADI. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

武器系统概率指标的贝叶斯决策评定方法

剖析了武器系统试验工程领域中常用二项分布经典假设检验方法存在的问题,从贝叶斯决策思想和理论出发提出了概率指标评定的新方法,通过实例对比证明了贝叶斯决策评定方法有效解决了二项分布经典假设检验方法中存在的问题。     

两级融合系统中目标身份与行为识别技术

建立两级融合系统,联接一级、二级融合系统中的识别功能.提出基于模糊集理论的特征层目标识别技术,基于D-S理论、Bayes理论的时空域决策层目标识别技术、基于贝叶斯网络推理的行为识别技术.解决应用中普遍存在的目标特征界限模糊、身份冲突、身份不稳定、缺少行为识别信息等问题,实现对目标身份和行为的综合识别,以达到对目标的全面...     

基于神经网络的舰船目标识别研究

为了实现对水下目标的识别,在现有特征提取方法的基础上,提出了一种从DEMON谱线谱和DEMON谱连续谱提取的特征方法,并设计了一个基于BP神经网络和多神经网络分类识别器的舰船目标识别系统。通过对实际舰船噪声目标进行识别,识别效果比较满意。这对舰船目标识别的发展具有一定的参考价值。     

空中编队指挥引导智能决策模型研究

提高空军C3I系统指挥控制能力的关键手段之一是实现对大规模空中编队指挥引导的自动化。提出了实现智能指挥引导系统的总体结构,构建了规则库、模型库,分析了指挥引导规则的优化方法。在空军大规模仿真系统中的运行结果证明,该模型设计正确合理。