最小费用树

本文在赋边权w和顶点权θ的网络中,建立了最小费用树问题的网络模型。文中对问题的复杂性进行了讨论并给出了求解问题的算法     

融合遗传蚁群算法的区域覆盖卫星星座优化算法

针对特定区域覆盖并密集重访的卫星星座优化设计问题,采用回归轨道和共星下点轨迹星座的设计方案,提出特定区域内重点地区权值排序覆盖并融合遗传蚁群算法优化求解卫星星座轨道参数的方法。分析区域覆盖星座的设计需求,建立回归轨道覆盖区域模型,利用遗传蚁群算法计算出最优轨道根数,使用共星下点轨迹星座求解算法求出所有星座参数。仿真实验结果表明优化设计的星座满足对于区域目标的覆盖时间和重访次数需求,并对重要地点按照权值排序进行了侧重性覆盖和重访,验证了算法的可行性。     

基于CEC系统舰艇编队防空作战最小共享信息集研究

根据最小共享信息集的概念,提出了基于CEC系统舰艇编队协同防空作战的智能系统模型,分析了舰艇编队CEC系统的作战功能和作战信息,提出了确定舰艇编队协同防空作战的最小共享信息集的事件法,并应用信息论证明了事件法的确能够减少通信的信息量。在上述基础上,确定了舰艇编队协同防空作战的最小共享信息集。     

某装备系统机电产品贮存可靠性评估方法

针对某装备系统机电产品长期自然贮存环境下可靠性无法准确评估的难题,提出了一种基于极小χ2估计和拟合优度检验的贮存可靠性评估方法,并对试验数据进行了分析、计算和处理。该方法通过拟合产品的失效分布来确定其分布函数参数,并根据确定的分布函数来预测产品的贮存可靠寿命。与现有的评估方法相比,采用该方法确定的分布函数更能反映产品的可靠性变化规律,对机电产品的贮存寿命预测结果更加合理,在工程研究领域具有很好的实用价值。     

Minimum violations and predictive meta‐rankings for college football

This article presents two meta‐ranking models that minimize or nearly minimize violations of past game results while predicting future game winners as well as or better than leading current systems—a combination never before offered for college football. Key to both is the development and integration of a highly predictive ensemble probability model generated from the analysis of 36 existing college football ranking systems. This ensemble model is used to determine a target ranking that is used in two versions of a hierarchical multiobjective mixed binary integer linear program (MOMBILP). When compared to 75 other systems out‐of‐sample, one MOMBILP was the leading predictive system while getting within 0.64% of the retrodictive optimum; the other MOMBILP minimized violations while achieving a prediction total that was 2.55% lower than the best mark. For bowls, prediction sums were not statistically significantly different from the leading value, while achieving optimum or near‐optimum violation counts. This performance points to these models as potential means of reconciling the contrasting perspectives of predictiveness versus the matching of past performance when it comes to ranking fairness in college football. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 61: 17–33, 2014     

一类分段线性费用网络流问题

本文通过把一类分段线性费用网络流问题化成线性费用网络流问题,给出了求解这类分段线性费用网络流问题的算法。     

Screening and selection procedures with control variates and correlation induction techniques

We consider the problem of identifying the simulated system with the best expected performance measure when the number of alternatives is finite and small (often < 500). Recently, more research efforts in the simulation community have been directed to develop ranking and selection (R&S) procedures capable of exploiting variance reduction techniques (especially the control variates). In this article, we propose new R&S procedures that can jointly use control variates and correlation induction techniques (including antithetic variates and Latin hypercube sampling). Empirical results and a realistic illustration show that the proposed procedures outperform the conventional procedures using sample means or control variates alone. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012     

Estimating failure time distribution and its parameters based on intermediate data from a Wiener degradation model

Instead of measuring a Wiener degradation or performance process at predetermined time points to track degradation or performance of a product for estimating its lifetime, we propose to obtain the first‐passage times of the process over certain nonfailure thresholds. Based on only these intermediate data, we obtain the uniformly minimum variance unbiased estimator and uniformly most accurate confidence interval for the mean lifetime. For estimating the lifetime distribution function, we propose a modified maximum likelihood estimator and a new estimator and prove that, by increasing the sample size of the intermediate data, these estimators and the above‐mentioned estimator of the mean lifetime can achieve the same levels of accuracy as the estimators assuming one has failure times. Thus, our method of using only intermediate data is useful for highly reliable products when their failure times are difficult to obtain. Furthermore, we show that the proposed new estimator of the lifetime distribution function is more accurate than the standard and modified maximum likelihood estimators. We also obtain approximate confidence intervals for the lifetime distribution function and its percentiles. Finally, we use light‐emitting diodes as an example to illustrate our method and demonstrate how to validate the Wiener assumption during the testing. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

最小交互熵谱估计在反坦克导弹系统仿真模型验证中的应用

针对反坦克导弹系统动态过程仿真的输出具有短时序、低信噪比的特点 ,研究了应用最小交互熵谱估计验证导弹系统仿真模型有效性的方法 ,并结合某型号滚转稳定的反坦克导弹系统的仿真数据和理论计算数据给出了最小交互熵谱估计的应用结果。     

基于用户相关反馈的排序学习算法研究

在信息检索中,系统需要根据用户查询将文档按照相似度大小进行排序,吸引了众多信息检索和机器学习领域研究者的眼球,并形成了诸多排序算法模型。然而并未考虑到查询短语与文档构成的特征对与用户相关反馈之间存在的同质性。在机器学习算法基础上,通过提取训练样本的主要特征进行有效聚类,并结合用户的相关反馈获取各个类中相关度判断的置信值,形成相似度判定模型,应用该模型来对测试样本进行相关度排序。算法对LETOR数据集进行了测试,实验表明,信息检索性能指标比其他排序算法有了进一步提高,并且无需复杂的数据预处理工作和手动设定算法参数。