一个实时调度仿真模型算法的算法

提出了一个在仿真支撑系统中所采用的实时调度仿真模型算法的算法,并且成功地应用在“RDFI—50MW热电厂训练仿真机”中.     

实时图像的采集与显示

本文介绍了一个实时图象采集与显示系统,较为详细地说明了系统的工作原理,分析了各部分的实现过程。特别是本系统中引入多体存储器存储图象的方法,改善了数据接口的带宽,实现了图象数据采集、存储、传送的实时操作。     

C2组织结构设计:平台-任务关系设计

以联合作战战役为例建立作战平台和任务模型,对C2(Command and Control)组织结构设计中平台-任务关系设计问题分析了传统多维动态列表规划算法(Multidimensional Dynamic List Scheduling,MDLS)在解决作战平台资源调度(平台-任务分配)问题的不足,提出了在平台-任务分配过程中采用任务选择平台组、平台选择任务以及两者选择冲突消除改进的MDLS算法,以解决MDLS算法的不足,并对不同方法的结果进行了比较.     

链约束下加工时间恶化的Flow Shop排序问题

讨论作业具有线性加工时间,作业间具有链约束的两台处理机流水作业排序问题,目标函数为极小化完工时间。在作业加工时间简单线性恶化下,提出作业的非负开始和停止延迟恶化率,构造了满足约束条件的复合作业。在此基础上,给出作业间具有平行链约束的两台处理机流水作业排序问题的最优多项式算法。     

基于VC++的坦克模拟车驾驶实时控制系统

坦克模拟车驾驶实时控制系统是坦克(分队)作战仿真系统的重要组成部分.结合科研实践,基于Visual C 语言,着重从系统设计原理、系统实现、系统评价等方面进行分析研究,完成代码编写与硬件接口的联接.实践证明,该系统能够实时准确地对驾驶过程中的数据进行采集和处理,且能够逼真地实现对坦克模拟车的驾驶模拟,系统中所创建的类经过重用,也可以在其他坦克模拟系统的开发和研究中使用,且具有较高的参考价值.     

卫星任务调度问题的约束规划模型

卫星任务规划与调度是空间资源管理的重要内容之一,其目的在于为卫星系统的任务计划编制提供科学合理的决策手段与依据。卫星任务调度问题的重要特点在于,调度任务存在可见时间窗口约束。只有在可见时间窗口内,调度任务才可能执行并完成。在进行合理假设的基础上,建立卫星任务调度问题的约束规划模型。对基本禁忌搜索算法进行改进,提出了模型求解的变邻域禁忌搜索算法。应用结果表明,约束规划模型的建立与求解是合理的。     

面向作战任务的最小风险传感器调度方法

基于风险理论提出一种面向不同目标探测任务的传感器调度方法。将主动传感器辐射被截获风险和目标探测风险结合起来,建立一般目标探测框架下的传感器最小风险调度模型。分目标跟踪、目标识别和目标威胁等级评估三种情况将传感器最小风险调度模型具体化,给出不同情况下目标探测风险值的计算方法。针对模型的求解提出一种基于混沌思想、反向学习和双向轮盘赌的改进人工蜂群算法。通过仿真实验证明了模型的可行性和算法的有效性。     

Energy‐efficient scheduling for sustainable manufacturing systems with renewable energy resources

Environmentally friendly energy resources open a new opportunity to tackle the problem of energy security and climate change arising from wide use of fossil fuels. This paper focuses on optimizing the allocation of the energy generated by the renewable energy system to minimize the total electricity cost for sustainable manufacturing systems under time‐of‐use tariff by clipping the peak demand. A rolling horizon approach is adopted to handle the uncertainty caused by the weather change. A nonlinear mathematical programming model is established for each decision epoch based on the predicted energy generation and the probability distribution of power demand in the manufacturing plant. The objective function of the model is shown to be convex, Lipchitz‐continuous, and subdifferentiable. A generalized benders decomposition method based on the primal‐dual subgradient descent algorithm is proposed to solve the model. A series of numerical experiments is conducted to show the effectiveness of the solution approach and the significant benefits of using the renewable energy resources.     

Client‐contractor bargaining on net present value in project scheduling with limited resources

The client‐contractor bargaining problem addressed here is in the context of a multi‐mode resource constrained project scheduling problem with discounted cash flows, which is formulated as a progress payments model. In this model, the contractor receives payments from the client at predetermined regular time intervals. The last payment is paid at the first predetermined payment point right after project completion. The second payment model considered in this paper is the one with payments at activity completions. The project is represented on an Activity‐on‐Node (AON) project network. Activity durations are assumed to be deterministic. The project duration is bounded from above by a deadline imposed by the client, which constitutes a hard constraint. The bargaining objective is to maximize the bargaining objective function comprised of the objectives of both the client and the contractor. The bargaining objective function is expected to reflect the two‐party nature of the problem environment and seeks a compromise between the client and the contractor. The bargaining power concept is introduced into the problem by the bargaining power weights used in the bargaining objective function. Simulated annealing algorithm and genetic algorithm approaches are proposed as solution procedures. The proposed solution methods are tested with respect to solution quality and solution times. Sensitivity analyses are conducted among different parameters used in the model, namely the profit margin, the discount rate, and the bargaining power weights. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009     

基于RTX的实时测控系统软件设计

从无人机半物理仿真试验的整体结构出发,针对实时测控系统的需求,采用了一种较为新颖的Windows+RTX实时性方案,完成了无人机半物理仿真试验中实时测控系统的研制.既满足了试验的实时性要求,又具有很好的用户交互特性,对测控技术的发展及其在国防科技等相关领域中的应用均有重要的参考价值.