动基站时差探测系统定位方法研究

针对传统长基线时差探测系统的缺点,提出了全新的动基站时差测量系统并给出了目标的定位原理。在典型布站、信息存在冗余的前提下,通过子集选优法确定了最佳定位算法,并根据工程应用的需要确定了更加合理简捷的定位算法,统计仿真表明了该算法的有效性。最后,计算了目标高度测量精度并归纳了其特点,给出了有益的结论。     

区域防空导弹反导火力分配研究

分析了传统防空导弹火力分配模型的不足,考虑到编队内各舰艇近程防空作战能力的不同,结合装备性能特点,建立了基于机会约束规划的区域防空导弹火力分配优化模型。给出了基于遗传算法和BP神经网络的混合智能算法,该算法在精度和速度上均能满足防空作战的要求。     

Probabilistic resource pooling games

We study a setting with a single type of resource and with several players, each associated with a single resource (of this type). Unavailability of these resources comes unexpectedly and with player‐specific costs. Players can cooperate by reallocating the available resources to the ones that need the resources most and let those who suffer the least absorb all the costs. We address the cost savings allocation problem with concepts of cooperative game theory. In particular, we formulate a probabilistic resource pooling game and study them on various properties. We show that these games are not necessarily convex, do have non‐empty cores, and are totally balanced. The latter two are shown via an interesting relationship with Böhm‐Bawerk horse market games. Next, we present an intuitive class of allocation rules for which the resulting allocations are core members and study an allocation rule within this class of allocation rules with an appealing fairness property. Finally, we show that our results can be applied to a spare parts pooling situation.     

基于遗传算法舰船装载码头配置方案优化

两栖输送舰船码头装载过程中,如何科学配置装载码头,使得整个装载任务完成时间最短是部队制定装载方案需要解决的重要难题。依据码头装载配置特点和要求,运用军事运筹学多目标规划理论构建装载码头配置规划模型,并运用遗传算法理论和计算机编程工具实现码头配置规划模型的优化解算。从而提高了部队两栖输送舰船码头装载方案制定的科学性和时效性。     

Budget allocation,national security,military intelligence,and human capital: a dynamic model

This study develops a dynamic model that integrates military intelligence into the defense capability of the country and the optimal allocation of its government budget. We assert that the effectiveness of the country’s military intelligence is contingent on the quality of its human capital, which, in turn, implies a long-term positive relationship between the government’s various civilian expenditures and its capacity to achieve a cost-effective intelligence and, hence, military capability. This relationship is developed within a multiple-period arms race model between two rivals. Using this model and stylized data for the Israeli–Syrian arms race, we show that an appropriate budget shift from defense to civilian expenditures during the initial periods of the planning horizon will gradually (over a decade, say) increase the quality of human capital in the country and, thus, the effectiveness of its intelligence, which, in turn, will increase the country’s future security and welfare.     

改进遗传算法求解电力网攻击无人机分队任务分配

遗传算法因其出色的寻优能力,自提出后就被广泛用于工程技术上的最优化问题求解。根据电力网攻击无人机分队任务分配的实际需要,提出基于遗传算法思想的解决方案,并在原算法基础上,采用种群分组进化的策略进行改进。详细介绍算法的基本原理和仿真步骤,再举出实际算例进行仿真,实验结果证明算法的改进取得了良好效果。     

A learning tabu search for a truck allocation problem with linear and nonlinear cost components

The two‐level problem studied in this article consists of optimizing the refueling costs of a fleet of locomotives over a railway network. The goal consists of determining: (1) the number of refueling trucks contracted for each yard (truck assignment problem denoted TAP) and (2) the refueling plan of each locomotive (fuel distribution problem denoted FDP). As the FDP can be solved efficiently with existing methods, the focus is put on the TAP only. In a first version of the problem (denoted (P1)), various linear costs (e.g., fuel, fixed cost associated with each refueling, weekly operating costs of trucks) have to be minimized while satisfying a set of constraints (e.g., limited capacities of the locomotives and the trucks). In contrast with the existing literature on this problem, two types of nonlinear cost components will also be considered, based on the following ideas: (1) if several trucks from the same fuel supplier are contracted for the same yard, the supplier is likely to propose discounted prices for that yard (Problem (P2)); (2) if a train stops too often on its route, a penalty is incurred, which represents the dissatisfaction of the clients (Problem (P3)). Even if exact methods based on a mixed integer linear program formulation are available for (P1), they are not appropriate anymore to tackle (P2) and (P3). Various methods are proposed for the TAP: a descent local search, a tabu search, and a learning tabu search (LTS). The latter is a new type of local search algorithm. It involves a learning process relying on a trail system, and it can be applied to any combinatorial optimization problem. Results are reported and discussed for a large set of instances (for (P1), (P2), and (P3)), and show the good performance of LTS. © 2014 Wiley Periodicals, Inc. 62:32–45, 2015     

电传动装甲车辆电源系统建模与仿真

电源系统是电传动装甲车辆的核心,对其进行建模与仿真研究具有重要意义。电源系统的非线性特性导致了建模困难、模型精度低以及模型实用性差等难题,针对不同的部件特性采取不同的方法建立其仿真模型,完成了基于模糊控制的系统多目标优化功率分配策略研究。并在此基础上进行了部件和系统两个层次的仿真试验,证明所建模型能够较好地反映电传动车辆电源系统的工作特性。     

航天器转动惯量参数在轨辨识的最优激励

根据矩阵分析理论研究了转动惯量参数的可辨识性问题,从姿态动力学方程导出关于未知参数的线性回归模型,将回归矩阵的条件数作为参数可辨识度的定量指标,以可辨识度最大为目标函数建立最优控制模型;应用解最优控制问题的伪谱法,计算控制力矩陀螺的指令轨线,使得惯量参数的辨识精度和收敛速度显著提高;在仿真中采用双无迹卡尔曼滤波算法进行参数辨识,结果验证了所提出的最优激励设计方法可以改善参数辨识性能,同时该方法对先验信息误差具有鲁棒性。     

防暴发射器身管长度优化研究

为解决某型防暴发射器身管设计不合理导致有效射程短的问题,以仿真设计的方法,运用Matlab计算软件对其进行了内弹道模拟仿真,获得了不同身管长度下该防暴发射器的膛压和速度曲线,确定了最优身管长度。然后利用ANsYs有限元分析软件,对延长身管后的模型进行了强度校核。仿真结果和实弹数据表明：防暴发射器身管长度设计合理,有效提高了其实际射程和作战效能,研究工作优化了防暴发射器的设计。