等概率抽样群体演化算法的隐含并行性

在等概率抽样群体的条件下,讨论了演化算法的隐合并行性,得到了算法每代隐含处理的模式长度不超过ls（0≤ls≤l）的不同模式期望数的精确表达,并估计了其上下界．     

叶剑英军事谋略初探

叶剑英在军事谋略领域给后人留下了极其丰厚和宝贵的精神财富。其精髓,正在于他一贯地坚持“把唯物辩证法正确地运用在军事领域中,作为判断情况、定下决心、指导战争的唯一法宝”。本文以此为切点,探讨了叶剑英军事谋略的主要内容及特色:全面、客观地认识和判断战争;辩证地对待战争局部与全局的关系;依据敌我情况运筹作战行动;善于预见,抓住中心;灵活运用谈判、外交、宣传等手段,化劣势为优势;着眼于特点,着眼于发展。     

A Mathematical Approach to Limit Illegal Border-Crossings – with Application in Protecting Critical Infrastructure

The grand aim of all science is to cover the greatest number of empirical facts by logical deduction from the smallest number of hypotheses or axioms.

Albert Einstein

Current problem: Border Emergency

Solutions in response

US Congress's response: Set immigration policies, a series of immigration reform bills and proposals.

Government's response: Make an appropriation/budget for border issues: increase law enforcement personnel and needed resources, pay officers overtime, and build fences along the border.

Scientists' response: Describe this complex problem mathematically and provide scientific solutions.     

关于GJB 5377-2005《航空炸弹第Ⅱ重量级通用吊耳规范》的制定

本文对GJB 5377-2005《航空炸弹第Ⅱ重量级通用吊耳规范》的编制过程进行了介绍,主要从项目的论证分析、结构确定、试验验证等方面进行了说明。阐述了“通用吊耳”可同时适用于“北约”和“华约”两种悬挂体制的要求。     

舰空导弹设计方案评价

舰空导弹设计方案评价是一项复杂的系统工程。因其涉及到的因素众多,有些因素易于量化,有些因素难以量化,往往给决策者带来诸多困难。在建立舰空导弹设计方案评价指标体系的基础上,采用熵权法和理想点法相结合的方法对舰空导弹设计方案评价问题进行研究,以期降低决策的主观随意性,使决策更加科学合理。     

Nonrobustness of the normal approximation of lead‐time demand in a (Q,R) system

For computing an optimal (Q, R) or kindred inventory policy, the current literature provides mixed signals on whether or when it is safe to approximate a nonnormal lead‐time‐demand (“LTD”) distribution by a normal distribution. The first part of this paper examines this literature critically to justify why the issue warrants further investigations, while the second part presents reliable evidence showing that the system‐cost penalty for using the normal approximation can be quite serious even when the LTD‐distribution's coefficient of variation is quite low—contrary to the prevalent view of the literature. We also identify situations that will most likely lead to large system‐cost penalty. Our results indicate that, given today's technology, it is worthwhile to estimate an LTD‐distribution's shape more accurately and to compute optimal inventory policies using statistical distributions that more accurately reflect the LTD‐distributions' actual shapes. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2003     

高精度分数时延滤波器设计的边界拟合Remez算法

在卫星星间测距模拟信号仿真及实际测试中,为提高测距模拟信号精度和系统可用带宽,提出基于边界拟合Remez算法的高精度分数时延滤波器的设计算法。该算法利用Farrow结构的多项式近似思想,采用多项式拟合Remez算法设计滤波器的冲激响应边界系数,通过多相分解实现分数时延滤波器组。该算法改善了当设计的滤波器阶数较高时冲激响应边界的不连续现象,进而降低了群时延误差,提高了精度。仿真结果表明,该算法设计的滤波器的分数时延精度得到了提高,同时系统可用带宽提高近一倍,实现时需使用的乘法器数目也有明显降低。     

分布式到达时间控制器装备维修任务实时调度方法

战时装备维修企业的生产环境呈现出更多的不确定性,合理安排维修任务来适应这种不确定性使实际修复时间与计划时间偏差最小是什么重要的.为此,提出了一种面向准时制造的实时生产调度方法,这种生产调度系统有多个独立的智能体,每个智能体通过到达时间控制器和仿真系统的反馈来调整对应维修任务的到达时间,然后通过先来先服务的调度规则确认维...     

Using stochastic programming to solve an outpatient appointment scheduling problem with random service and arrival times

We study a stochastic outpatient appointment scheduling problem (SOASP) in which we need to design a schedule and an adaptive rescheduling (i.e., resequencing or declining) policy for a set of patients. Each patient has a known type and associated probability distributions of random service duration and random arrival time. Finding a provably optimal solution to this problem requires solving a multistage stochastic mixed‐integer program (MSMIP) with a schedule optimization problem solved at each stage, determining the optimal rescheduling policy over the various random service durations and arrival times. In recognition that this MSMIP is intractable, we first consider a two‐stage model (TSM) that relaxes the nonanticipativity constraints of MSMIP and so yields a lower bound. Second, we derive a set of valid inequalities to strengthen and improve the solvability of the TSM formulation. Third, we obtain an upper bound for the MSMIP by solving the TSM under the feasible (and easily implementable) appointment order (AO) policy, which requires that patients are served in the order of their scheduled appointments, independent of their actual arrival times. Fourth, we propose a Monte Carlo approach to evaluate the relative gap between the MSMIP upper and lower bounds. Finally, in a series of numerical experiments, we show that these two bounds are very close in a wide range of SOASP instances, demonstrating the near‐optimality of the AO policy. We also identify parameter settings that result in a large gap in between these two bounds. Accordingly, we propose an alternative policy based on neighbor‐swapping. We demonstrate that this alternative policy leads to a much tighter upper bound and significantly shrinks the gap.     

军用软件产品评价的工程化实现方法

根据目前军用软件产品的评价需求,探讨了第三方评测机构在实施软件测试后,按照软件的自身特点,利用军用软件质量模型进行评价的可行性方法。通过确立评价需求、规定评价、设计评价、执行评价、做出评价结论等步骤详细描述了该方法,并给出软件的评价实例。该方法能对软件做出较为客观的评价,较好地满足了军用软件产品的评价需求。