MEFP战斗部结构的正交优化设计

以多爆炸成型弹丸(MEFP)为计算模型,应用显式有限元程序LS-DYNA,分析了药型罩间距、锥角、壁厚、装药高度和装药直径5种因素对MEFP发散角的影响规律。结果表明:随着药型罩间距、壁厚和装药直径的增加以及药型罩锥角、装药高度的减小,MEFP的发散角在减小。在此基础上以MEFP发散角为命中和毁伤概率指标,应用正交优化方法针对5种结构因素对MEFP发散角的影响主次关系进行了分析研究。结果表明药型罩壁厚是MEFP战斗部命中和毁伤概率的主要影响因素,并得到了5种结构因素各水平的最优组合。     

航天测控调度问题的拉格朗日启发式算法

通过分析航天测控调度问题的测控需求,建立了航天测控调度0-1整数规划模型,运用拉格朗日松弛方法对模型中的任务约束和设备约束进行了松弛,运用次梯度优化算法求得了航天测控调度问题上界,同时得到了决策变量对应的拉格朗日权重,可以作为决策变量在最优解中是否被调度的启发式信息,对拉格朗日权重进行分析,提出了求解问题可行解的拉格朗日启发式算法。最后,通过对两个场景的试验分析验证了拉格朗日启发式算法所求可行解的优越性。     

Unpacking the various meanings of redundancy: from refining the concept to military planning

The authors engage in the debate over waste in military force structure planning by rigorously deconstructing the concept of “redundancy.” First, a typology of redundancy is constructed that provides a common framework for identifying variety among redundant structures. These are labeled “true redundancy,” “expanded capacity,” “portfolio diversification,” and “mission overlap.” Further, a number of mechanisms are identified that produce these types of structures, and show the conditions under which planners may utilize redundant structure in the search for optimization. In sum, the article provides refined concepts for analysts and planners to identify when redundancy is deleterious or beneficial.     

基于GRA-PSO算法的端铣工艺参数多目标优化

考虑生产实际的需求,综合最小变形误差、最大金属切除率和最大刀具耐用度建立端铣工艺参数多目标优化模型。通过对粒子群全局寻优能力和灰色理论的适应性综合分析,研究提出耦合粒子群算法（Particle Swarm Op-timization,PSO）和灰色关联（Gray Relevancy Analysis,GRA）的多目标工艺参数优化算法。该方法将多目标函数的优化问题转化为优化单项灰关联度,得到了多项工艺指标要求下的参数优化组合。将该方法应用在多目标工艺参数优化设计中取得了满意的结果,表明其具有很大的适应性。     

基于模态分析的变速箱振动测点优化配置

针对坦克变速箱振动信号在状态监测中测点的选择问题,提出了根据不同测点的频响特性优化振动测点的方法。通过分析变速箱箱体的有限元动力学模型,得到箱体的各阶固有频率和振型,选择模态分析中总位移较大的位置作为最优的测点安装传感器,为试验测点布置以及状态监测和评估提供理论支持。研究结果表明：位于风扇联动装置齿轮箱附近的传感器对变速箱振动信号的强弱变化比较敏感。     

一种考虑权重的多专业流水式批量维修任务调度模型

针对维修专业不同的设置模式和运行模式,对多专业流水式批量维修任务调度问题进行了分析和建模,在考虑任务权重的基础上将该问题分成两步求解。首先,建立了初始专业领域内批量维修任务调度及优化模型;其次,建立了考虑任务权重的多专业流水式批量维修任务调度模型。实例验证表明：该方法更贴近于实际,可快速、有效地解决批量维修任务调度问题。     

战场环境下无人车辆战术机动路径规划方法

针对不同类型威胁体存在的战场环境中无人车辆战术机动路径规划问题,提出了一种基于威胁代价地图的粒子群优化（Particle Swarm Optimization,PSO）方法。借助极坐标系中关键点的极角进行路径描述,并使用分段3次Hermite插值方法形成光滑路径,将路径规划问题转化为关键点极角的参数优化问题。针对基本PSO（BPSO）算法存在的早熟收敛和后期迭代效率低的缺陷,借鉴以群集方式生活的物种按照不同任务对种群进行分工的机制,提出了一种基于多任务子群协同的改进粒子群优化（Particle Swarm Optimization based on the Multi—tasking Subpopu—lation Cooperation,PSO-MSC）算法。借助该算法的快速收敛和全局寻优特性实现了最优路径规划。实验结果表明：该算法可以快速有效地实现战场环境下无人车辆的战术机动路径规划,且规划路径安全、平滑。     

基于自适应变异粒子群算法的火力分配方法研究

针对最优火力分配的特点,分析了火力分配优化问题的数学模型,设计了一种求解该类问题的自适应变异粒子群算法（Adaptive Mutation Particle Swarm Optimization, AMPSO）。该算法采用十进制编码方法和基于数值运算的个体更新方法;为平衡算法的局部搜索能力和全局收敛性能,设计了一种关键参数自适应调整方法;为增强种群在进化后期的多样性,提出了一种变异策略。仿真结果表明,所提AMPSO算法具有良好的寻优性能,是优化火力分配的一种有效算法。     

军队会计流程存在的问题及优化策略

在新军事变革的背景下,军队会计流程存在不适应新管理体制需要、信息技术应用对会计流程再造力度不够、军队会计科目设置影响流程等问题。本文从界定军队会计流程的含义入手,提出了优化军队会计流程、建立智能化军队会计信息系统的四项策略,即重塑军队会计流程体系、重构军队会计信息系统、调整军队会计科目体系以及完善各流程会计处理方法。优化军队会计流程、建设智能化军队会计信息系统,不仅能够反映军事经济活动的历史信息,还能为不同类型的信息使用者提供预测、决策等支持,并有利于改善军队会计核算质量,准确反映各类资产负债的价值信息和单位的真实财务状况,对于提高军队会计信息质量具有一定的借鉴意义。     

Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO: A novel hybrid intelligent method

An effective hybrid optimization method is proposed by integrating an adaptive Kriging (A-Kriging) into an improved partial swarm optimization algorithm (IPSO) to give a so-called A-Kriging-IPSO for maxi-mizing the buckling load of laminated composite plates (LCPs) under uniaxial and biaxial compressions. In this method, a novel iterative adaptive Kriging model, which is structured using two training sample sets as active and adaptive points, is utilized to directly predict the buckling load of the LCPs and to improve the efficiency of the optimization process. The active points are selected from the initial data set while the adaptive points are generated using the radial random-based convex samples. The cell-based smoothed discrete shear gap method (CS-DSG3) is employed to analyze the buckling behavior of the LCPs to provide the response of adaptive and input data sets. The buckling load of the LCPs is maximized by utilizing the IPSO algorithm. To demonstrate the efficiency and accuracy of the proposed methodology, the LCPs with different layers (2, 3, 4, and 10 layers), boundary conditions, aspect ratios and load patterns (biaxial and uniaxial loads) are investigated. The results obtained by proposed method are in good agreement with the literature results, but with less computational burden. By applying adaptive radial Kriging model, the accurate optimal results-based predictions of the buckling load are obtained for the studied LCPs.