基于变异离散粒子群的协同空战攻击决策算法

为了提高智能协同空战攻击决策算法性能,将变异策略引入到DPSO(Discrete Particle Swarm Optimization)协同空战攻击决策算法中,提出了一种新的基于变异离散粒子群(Mutation Discrete Particle Swarm Optimization,MDPSO)的协同空战攻击决策算法。基于典型空战想定背景,仿真验证了算法的有效性。采用对比实验方法,基于准确性、可靠性和快速性等关键性能指标,分析比较了基于MDPSO协同空战攻击决策算法与多种智能决策算法,验证了基于MDPSO的协同空战攻击决策算法有着较好的综合性能。     

基于遗传算法的涡轮增压器叶轮优化设计

提出了一种基于遗传优化理论的涡轮增压器叶轮的优化设计方法,论述了以涡轮增压器叶轮能量损失最小为目标函数,以叶轮叶片进口角、进口直径、进口宽度、出口直径、叶片数、出口角为设计变量的涡轮增压器叶轮的优化设计模型及优化计算的方法,数值计算表明,这种算法可以方便地求得具有最小涡轮损失的涡轮叶形参数.     

多级可修备件库存的生灭过程建模与优化

针对VARI-METRIC模型在低可用度下结果不准确的问题,建立基于生灭过程的任意等级、任意层级可修件库存优化模型。通过对各级站点、各类备件需求率与到达率的预测,对每个部件建立其生灭过程模型,并提出基于生灭过程的装备可用度计算方法。以整个保障系统的装备可用度为约束指标,以备件总购置费最低为目标,利用边际算法得到最优备件配置方案,并建立仿真模型对所得优化方案进行评估与调整。结合算例,以仿真结果作为检验标准,选取权威的VMETRIC软件与该解析模型在优化性能、计算精度及适用性上进行对比和说明。结果表明,无论是解析模型还是VMETRIC软件,均存在一定的适用范围,而采用解析与仿真相结合的方法无疑具有更强的适应性。     

Optimal service and arrival rates in Jackson queueing networks

In this paper we present an algorithm for solving a class of queueing network design problems. Specifically, we focus on determining both service and arrival rates in an open Jackson network of queueing stations. This class of problems has been widely studied and used in a variety of applications, but not well solved due to the difficulty of the resulting optimization problems. As an example, consider the classic application in computer network design which involves determining the minimum cost line capacities and flow assignments while satisfying a queueing performance measure such as an upper limit on transmission delay. Other application areas requiring the selection of both service and arrival rates in a network of queues include the design of communication, manufacturing, and health care systems. These applications yield optimization problems that are difficult to solve because typically they are nonconvex, which means they may have many locally optimal solutions that are not necessarily globally optimal. Therefore, to obtain a globally optimal solution, we develop an efficient branch and bound algorithm that takes advantage of the problem structure. Computational testing on randomly generated problems and actual problems from a health care organization indicate that the algorithm is able to solve realistic sized problems in reasonable computing time on a laptop computer. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 1–17, 2000     

Optimal (τ, T) opportunistic maintenance of a k‐out‐of‐n:G system with imperfect PM and partial failure

The opportunistic maintenance of a k‐out‐of‐n:G system with imperfect preventive maintenance (PM) is studied in this paper, where partial failure is allowed. In many applications, the optimal maintenance actions for one component often depend on the states of the other components and system reliability requirements. Two new (τ, T) opportunistic maintenance models with the consideration of reliability requirements are proposed. In these two models, only minimal repairs are performed on failed components before time τ and the corrective maintenance (CM) of all failed components are combined with PM of all functioning but deteriorated components after τ; if the system survives to time T without perfect maintenance, it will be subject to PM at time T. Considering maintenance time, asymptotic system cost rate and availability are derived. The results obtained generalize and unify some previous research in this area. Application to aircraft engine maintenance is presented. © 2000 John Wiley & Sons;, Inc. Naval Research Logistics 47: 223–239, 2000     

用于DDR3访存优化的数据缓冲机制

为提高DDR3控制器访存效率,设计了基于DDR3存储器预取访问数据长度的数据缓冲机制,将访存请求分为三种基本类型并分别排队处理,降低数据丢弃和实际动态随机访问存储器访问发生次数。针对图像和视频类应用程序的实验结果表明,相对于传统先到先服务的DDR3访存控制器,该机制取得了平均21.3%、最好51.3%的性能提升,硬件开销在可接受范围内。     

飞机飞行控制律多目标优化设计研究

针对传统飞行控制律参数单目标优化设计不能同时满足多控制指标要求,且与飞行品质要求缺乏相关性,物理意义不明确等缺点,提出了一种基于改进NSGA-II算法的飞行控制律多目标优化设计方法。在该算法中提出了一种分化进化策略,使得进化搜索过程中染色体群可以自适应分化为数量和构成动态调整的子群,避免了多染色体子群对局部最优区域的重复搜索,维持染色体的多样性,有效抑制了早熟收敛现象发生。最后,使用改进的NSGA-II算法对某型飞机横航向控制律设计进行数值仿真,结果显示提出算法有效提高控制律优化调参效率,结果满足期望的飞行品质要求。     

基于蚁群算法的防空C3I系统火力分配模型研究

针对当前火力分配问题实现难度大的特点,分析各种火力分配优化方法的优缺点,运用新型蚁群算法尝试解决WTA问题。建立了基于蚁群算法的火力分配优化模型,描述了解火力分配问题的一般步骤,通过实例给出了算法,解决了WTA问题。并与匈牙利法相比较,结果表明该方法的合理性和有效性,特别是在武器—目标数较大时,其效率要高于常用的匈牙利法。     

相继增压柴油机推进装置增压系统特性研究

针对船舶推进装置中柴油主机相继增压特性的优化问题,在理论分析的基础上,建立了基于准稳态假设的增压系统能量平衡模型.对相继增压系统的稳、动态特性进行了分析,讨论了相继增压系统的特性优化问题,为主机采用相继增压技术的柴油机推进装置的性能优化、控制策略的制订提供了理论依据.     

工质变比热和传热损失对Diesel循环性能的影响

用有限时间热力学的方法分析空气标准Diesel循环,由数值计算给出了存在传热损失和工质变比热时循环功与压缩比、效率与压缩比以及功和效率的特性关系,并分析了传热损失和工质变比热对循环性能的影响特点,通过分析可知传热和变比热特性对Diesel循环性能有较大影响,所以在实际循环分析中应该予以考虑.