一类基于循环群理论的变形机理分析

随着病毒与反病毒竞争的加剧,变形已成为病毒技术中必不可少的一部分,深入剖析病毒变形机理是查杀变形病毒的关键.通过运用循环群的基本理论对两个具体问题进行抽象分析,揭示了这类变形机理的理论依据,并讨论了相应的检测方法.     

随机规划在无源TDOA定位系统布站中的应用

应用随机机会约束规划理论,研究了指定区域无源定位系统布站优化问题。针对无源定位站点部署研究存在的局限,从误差准则、截获准则和协同准则出发,建立了无源定位系统布站优化的随机机会约束模型。对三站定位问题进行了仿真,利用混合智能算法得到了不同情况下的最优布站策略。     

基于节点映射的武器装备需求生成方法

针对目前武器装备需求分析过程中,作战任务域向装备功能域映射方法可操作性不强的问题,研究了基于＂作战节点＂向＂系统节点＂映射的武器装备需求分析方法。该方法通过分析确定作战节点和系统节点,完成作战节点向系统节点映射、作战节点连接线向系统接口映射,最终得到装备系统需要的功能子系统及功能,较好地解决了需求映射过程中的随意性问题。     

舰载防空武器系统效能评估模型

运用随机服务系统理论建立了舰载防空武器系统的作战仿真模型。通过作战想定,对几种防空武器配置方案的作战效果进行了仿真。根据仿真结果,对影响防空武器作战效能的因素进行了深入的研究。研究结果表明,对于防空武器的优化配置、作战使用等都有一定参考价值。     

随机相位信号检测模型及其在移动通信保密系统中的应用

通过对随机相位信号检测模型的分析 ,介绍了一种基于该检测模型的对于经FSK调制的随机相位信号的检测方法 ,并阐述了该方法在一种蜂窝式移动通信保密系统中的应用     

Case‐based reasoning and improved adaptive search for project scheduling

Most scheduling problems are notoriously intractable, so the majority of algorithms for them are heuristic in nature. Priority rule‐based methods still constitute the most important class of these heuristics. Of these, in turn, parametrized biased random sampling methods have attracted particular interest, due to the fact that they outperform all other priority rule‐based methods known. Yet, even the “best” such algorithms are unable to relate to the full range of instances of a problem: Usually there will exist instances on which other algorithms do better. We maintain that asking for the one best algorithm for a problem may be asking too much. The recently proposed concept of control schemes, which refers to algorithmic schemes allowing to steer parametrized algorithms, opens up ways to refine existing algorithms in this regard and improve their effectiveness considerably. We extend this approach by integrating heuristics and case‐based reasoning (CBR), an approach that has been successfully used in artificial intelligence applications. Using the resource‐constrained project scheduling problem as a vehicle, we describe how to devise such a CBR system, systematically analyzing the effect of several criteria on algorithmic performance. Extensive computational results validate the efficacy of our approach and reveal a performance similar or close to state‐of‐the‐art heuristics. In addition, the analysis undertaken provides new insight into the behaviour of a wide class of scheduling heuristics. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 201–222, 2000     

攻击机突防链型国土防空系统效能分析

封锁式防空和阻击式防空一般采用火力区相互接壤而形成链式防空,链式防空用于疆土防御.根据防空系统的任务和规模(国土防空、部队战场防空、海上舰队防空)以及入侵方式、武器性能特点的不同.基于随机理论建立了敌方采用同类武器组成链式防空体系,攻击机采用火力对抗条件下的国土突防模型.对基于随机理论的攻击机突防链型国土防空系统效能进行了一些假设和简化,建立了初步的效能模型,提供了一个分析的思路和方法.     

Pickands型推广估计量的渐近正态性

极值指数在许多实际领域广泛应用:如组合投资、风险值的计算、预报地震等, 估计极值指数γ以及它的性质的研究近年来成为极值统计理论的基本问题。主要研究极值指数γ的一个估计量:Pickands型推广估计量的渐近正态性质。首先研究由Pickands型推广估计量构成的一随机过程,得到了该过程的渐近分布;然后利用研究结果证明了Pickands 型推广估计量的渐近正态性,得到其渐近方差;最后对提出的Pickands型推广估计的平滑估计量进行了相应研究。     

Dynamic coordination of production planning and sales admission control in the presence of a spot market

We consider the decision‐making problem of dynamically scheduling the production of a single make‐to stock (MTS) product in connection with the product's concurrent sales in a spot market and a long‐term supply channel. The spot market is run by a business to business (B2B) online exchange, whereas the long‐term channel is established by a structured contract. The product's price in the spot market is exogenous, evolves as a continuous time Markov chain, and affects demand, which arrives sequentially as a Markov‐modulated Poisson process (MMPP). The manufacturer is obliged to fulfill demand in the long‐term channel, but is able to rein in sales in the spot market. This is a significant strategic decision for a manufacturer in entering a favorable contract. The profitability of the contract must be evaluated by optimal performance. The current problem, therefore, arises as a prerequisite to exploring contracting strategies. We reveal that the optimal strategy of coordinating production and sales is structured by the spot price dependent on the base stock and sell‐down thresholds. Moreover, we can exploit the structural properties of the optimal strategy to conceive an efficient algorithm. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

区域目标搜索中基于改进RRT的UAV实时航迹规划

在线自主航迹规划是无人机(Unmanned Aerial Vehicles,UAV)执行区域目标搜索任务的有效保证.针对UAV区域搜索中航迹规划的实时性要求,提出了一种固定搜索模式和动态搜索模式相结合的UAV自主航迹规划框架.在快速扩展随机树(RRT)方法的基础上,通过改进随机扩展树的节点选择和引入启发式信息,提出了基于改进RRT的UAV实时搜索航迹规划算法,该算法能够有效降低在线航迹规划的时间代价和扩展节点数.仿真实验结果验证了本文方法的有效性.