Stochastic regret minimization for revenue management problems with nonstationary demands

We study an admission control model in revenue management with nonstationary and correlated demands over a finite discrete time horizon. The arrival probabilities are updated by current available information, that is, past customer arrivals and some other exogenous information. We develop a regret‐based framework, which measures the difference in revenue between a clairvoyant optimal policy that has access to all realizations of randomness a priori and a given feasible policy which does not have access to this future information. This regret minimization framework better spells out the trade‐offs of each accept/reject decision. We proceed using the lens of approximation algorithms to devise a conceptually simple regret‐parity policy. We show the proposed policy achieves 2‐approximation of the optimal policy in terms of total regret for a two‐class problem, and then extend our results to a multiclass problem with a fairness constraint. Our goal in this article is to make progress toward understanding the marriage between stochastic regret minimization and approximation algorithms in the realm of revenue management and dynamic resource allocation. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 433–448, 2016     

装备研制项目技术风险评估模型

建立了装备研制项目技术风险评估模型,并用系统分析的方法,实现了对技术风险的动态评估,并以示例进行了验证.     

Optimal control policies for a periodic review inventory system with emergency orders

We describe a periodic review inventory system where emergency orders, which have a shorter supply lead time but are subject to higher ordering cost compared to regular orders, can be placed on a continuous basis. We consider the periodic review system in which the order cycles are relatively long so that they are possibly larger than the supply lead times. Study of such systems is important since they are often found in practice. We assume that the difference between the regular and emergency supply lead times is less than the order-cycle length. We develop a dynamic programming model and derive a stopping rule to end the computation and obtain optimal operation parameters. Computational results are included that support the contention that easily implemented policies can be computed with reasonable effort. © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 187–204, 1998     

电偶极子源在时域有限差分网格中设置的一种新方法

提出了电偶极子源在时域有限差分(FDTD)网格中设置的一种新方法,它是以电偶极子源周围若干个FDTD网格组成的立方体来对其进行替代,并对立方体表面上的网格节点施加切向解析电场来模拟电偶极子源。文中把由此方法计算的电偶极子辐射场数值结果分别与电流密度添加形式的设置方法和解析法所得结果进行了对比,空间中各点的电磁场值都一致,验证了此设置方法的正确性。     

Matlab在装甲车发动机性能试验数据处理中的应用

数据处理是发动机特性试验的一个重要内容,是测取发动机各项指标,进行动力性、经济性分析的前提和基础。利用Matlab强大的数据处理功能和绘图功能对发动机的性能试验数据进行处理,并采用神经网络学习发动机外特性曲线的方法得到曲线,既提高了工作效率,又可得出较为精确可靠的动机外特性曲线。     

基于能力概念的复杂系统需求理解框架

军事电子信息系统因其系统结构、运行基础设施复杂等特点,决定了对其需求分析的复杂性。针对此问题,采用基于能力规划的思想,从能力本体的角度出发,定义出能力的内涵与外延,得出能力分析框架,从而为用户方与开发方规范了共同的需求理解框架,为下一步的能力建模、语义分析与验证打下基础。最后,用一个简单实例分析来说明如何依据能力分析框架描述或理解能力。     

一代名将刘亚楼

开国上将刘亚楼为新中国的诞生立下赫赫战功。在中央苏区,他作为团政治委员指挥所部参加了5次反围剿作战;长征中,他作为前卫师的政治委员指挥红2师斩关夺隘,浴血苦战,为长征的胜利做出重要贡献;解放战争时期,他作为东北野战军参谋长协助林彪、罗荣桓组织指挥东北各次攻势作战和辽沈决战;平津战役时,他担任天津战役前线总指挥,精心谋划,果断指挥,29小时攻克天津,为和平解放北平创造极为有利的条件。     

阅读理解测试中常用题型的对比研究

运用定量研究的方法,探讨阅读测试中多项选择、简答和正误判断三种题型与阅读理解能力之间的关系。研究设计中的受试者为390名武警学院的战士学员。统计程序使用SPSS对数据进行相关分析和回归分析。研究结果表明：多项选择、简答和正误判断三种题型都适合测试考生的阅读理解能力,但简答题是最有效的测试题型。     

混合隔振系统中电磁作动器的优化设计

由于混合隔振系统中的电磁作动器对电磁力、体积重量、损耗等指标有着严格的限制,因此电磁作动器的优化设计显得十分重要。为此,提出了电磁作动器系统参数(包括几何尺寸参数和电参数)的优化设计方法,推导了电磁作动器总损耗与系统参数间的关系。通过有限元分析软件ANSYS中的优化设计模块,使用ANSYS参数化设计语言建立了在保证电磁力及体积限制条件下,以总损耗最小为目标函数的三维参数化分析模型,多次循环迭代求解后得到了较为优化的系统参数。仿真及实验结果表明:按照该方法设计的电磁作动器能够满足各项设计指标要求,且性能比其他参数下更为优化。     

DESO滤波器在DSP上的实现及其应用

针对工程实践中系统状态信号及其高阶微分量提取受测量噪声干扰的问题,分析了DESO(Differential Extended State Observer)滤波器的原理和数学表达式,在此基础上,采用TMS320F2808为控制核心,辅以相应的信号采集、数据传输和参数设置电路,设计了基于DSP的DESO滤波器。测试表明:所设计的硬件DESO滤波器具有良好的滤波和微分提取功能。最后将其应用于坦克炮控系统的状态提取中,为抑制噪声干扰和进一步提高炮控系统的性能奠定了基础。