大学生创新能力的培养与课程教学

从创新精神、创造性思维、创新实践能力3个方面论述了创新能力,并着重论述了在课程教学中如何培养学生的这一能力。     

函数生成器的优化设计

本文介绍了一种优化的多变量函数产生器的设计思想,详尽论述了多变量函数快速插值算法、消除冗余断点搜索的思想以及搜索次数为１的断点搜索策略。实用表明,该产生器高效可行,比一般的多变量函数产生器减少计算量一半左右,有效地缩短了仿真问题的求解时间。     

地面防空战斗部署方案评估模型

对地面防空战斗部署方案进行评估是防空作战中非常关键的一环,防空战斗部署主要包括防空兵器战斗部署和情报预警雷达组网部署两部分。首先分析了地面防空兵器战斗部署的评估指标体系,用数学规划的方法对其作战能力进行评估。然后运用开马尔可夫排队网络对情报预警雷达组网部署的空情预警能力进行评估。     

单舰防空能力评估模型

水面舰艇海上作战的主要威胁来自于敌方反舰导弹的攻击,因而水面舰艇的反导作战能力成为其战斗能力和生存能力的重要指标之一。在传统武器系统效能评估模型的基础上,根据单舰防空武器系统的特点,利用数学整合的方法建立了单舰在遭受单发导弹攻击和多发导弹攻击情况下的防空能力评估模型。这在一定程度上为导弹武器作战系统的指标论证、方案论证、工程研制、鉴定定型和作战运用等提供参考依据。     

Modeling and solution for the ship stowage planning problem of coils in the steel industry

We consider a ship stowage planning problem where steel coils with known destination ports are to be loaded onto a ship. The coils are to be stowed on the ship in rows. Due to their heavy weight and cylindrical shape, coils can be stowed in at most two levels. Different from stowage problems in previous studies, in this problem there are no fixed positions on the ship for the coils due to their different sizes. At a destination port, if a coil to be unloaded is not at a top position, those blocking it need to be shuffled. In addition, the stability of ship has to be maintained after unloading at each destination port. The objective for the stowage planning problem is to minimize a combination of ship instability throughout the entire voyage, the shuffles needed for unloading at the destination ports, and the dispersion of coils to be unloaded at the same destination port. We formulate the problem as a novel mixed integer linear programming model. Several valid inequalities are derived to help reducing solution time. A tabu search (TS) algorithm is developed for the problem with the initial solution generated using a construction heuristic. To evaluate the proposed TS algorithm, numerical experiments are carried out on problem instances of three different scales by comparing it with a model‐based decomposition heuristic, the classic TS algorithm, the particle swarm optimization algorithm, and the manual method used in practice. The results show that for small problems, the proposed algorithm can generate optimal solutions. For medium and large practical problems, the proposed algorithm outperforms other methods. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 564–581, 2015     

改进蚁群算法在P2P网络资源搜索中的应用

针对P2P网络搜索算法中冗余查询消息过多,资源搜索效率低的问题,提出了基于改进蚁群算法的P2P资源搜索算法,算法中在选择邻节点查询时,综合考虑到本地资源情况、邻节点资源情况、邻节点资源相似度等因素,尽量避开了资源搜索中的恶意节点,并改进了基本蚁群算法的状态转移规则,从而避免了查询消息的盲目发送。仿真实验表明,与传统资源搜索算法K-radom-walks和Flooding相比,该算法在搜索命中率和带宽利用率方面有明显提高。     

基于概率影响图的空战能力评估模型

基于空战指标间复杂的影响关系,引入概率影响图,并结合指标间重要程度的比较对飞机空战能力进行客观评估。利用空战信息流图,依据作战结果计算能力指标值与发生概率,构建空战模型的概率影响图;定性分析能力指标间的影响关系,定量计算综合影响权重;综合考虑比较权和影响权,计算空战能力值。结果证明,影响关系在空战能力评估中占有很大比重。     

搜索路径给定时的搜索对策问题及其应用

搜索路径给定时的最优搜索方案问题,也可以理解为是关于搜索者和目标的二人对策问题,主要讨论了当搜索路径给定时的单个搜索者和单个目标的搜索对策问题。首先根据问题的特点,利用动态规划和迭代的方法,确定关于目标逃逸路径混合策略的最优分区,证明该分区是多面体凸集;针对目标不同逃逸路径的分区,求出搜索者的最大期望收益,再将问题转化为二人有限零和对策,计算出搜索者的支付矩阵,确定最优搜索策略。最后结合海军护航行动,对我舰载直升机搜索小型海盗船进行分析和计算,说明搜索路径给定时的最优搜索对策对于双方的资源分配和提高搜索效率具有一定的应用价值。     

多民族地区受教育程度、国家通用语言能力对劳动者收入的影响分析——基于中介效应视角分析

研究基于中国综合社会调查2010年及2017年的微观数据,运用中介模型对七个多民族地区劳动者国家通用语言能力在受教育程度对其收入影响中的中介效应进行分析。得出在受教育程度对个体收入的正向影响中,国家通用语言能力起到部分中介作用,对劳动者收入有明显促进作用,且随着多民族地区经济发展以及推普工作的开展,国家通用语言能力对个体收入的正向影响力有所减弱,受教育程度对个体收入的正向影响力有所增强。因此应注重通过提升劳动者国家通用语言能力促进多民族地区经济发展,持续重视国家通用语言能力在多民族地区劳动者就业能力中的基础性作用以及为其带来的经济收益。     

The SSA-BP-based potential threat prediction for aerial target considering commander emotion

The target's threat prediction is an essential procedure for the situation analysis in an aerial defense system. However, the traditional threat prediction methods mostly ignore the effect of commander's emotion. They only predict a target's present threat from the target's features itself, which leads to their poor ability in a complex situation. To aerial targets, this paper proposes a method for its potential threat prediction considering commander emotion (PTP-CE) that uses the Bi-directional LSTM (BiLSTM) network and the backpropagation neural network (BP) optimized by the sparrow search algorithm (SSA). Furthermore, we use the BiLSTM to predict the target's future state from real-time series data, and then adopt the SSA-BP to combine the target's state with the commander's emotion to establish a threat prediction model. Therefore, the target's potential threat level can be obtained by this threat prediction model from the predicted future state and the recognized emotion. The experimental results show that the PTP-CE is efficient for aerial target's state prediction and threat prediction, regardless of commander's emotional effect.