基于SQP法的助推-滑翔导弹助推段弹道优化研究

轨迹优化是飞行器总体优化设计中的重要组成部分,它贯穿于飞行器的整个设计过程。高超声速助推-滑翔导弹的弹道优化问题涉及攻角、法向过载、最大动压等多种约束条件,是一种复杂的最优控制问题。序列二次规划法（SQP）是解决该类问题行之有效的数值优化方法。本文利用SQP算法对助推-滑翔导弹助推段进行弹道优化,为这一高超声速飞行器的整体结构设计提供了有益的参考。     

LCDP SO算法在协同空战攻击决策中的运用?

为了探索提高协同空战攻击决策算法性能的途径,将多子群粒子群优化理论用于求解协同空战攻击决策,利用生命周期粒子群模型（ LCPSO）,提出了一种生命周期离散粒子群（ LCDPSO）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。通过统计实验的方法,分析比较了LCDPSO协同空战攻击决策算法与多种智能决策算法的准确性、可靠性和快速性,研究结果证明LCDPSO协同空战攻击决策算法优良的综合性能。     

抑制成像数据噪声的模糊多目标算法

以模糊数学和决策理论为基础,通过建立成像数据模糊指数函数及平方误差 模糊指数函数,提出了一种称为模糊多目标优化的新的算法模型,对成像数据的噪声进行抑 制实现数据优化。实验结果表明,所提出的模糊多目标优化算法模型有较强的抑制噪声能 力,理论和实验有较好的一致性。     

联合战役油料输送系统模拟模型及优化研究

油料输送是联合战役油料保障中的重要环节,其本质是一个受多种随机因素影响的复杂过程。以运筹学的排队论为建模指导思想,将联合战役油料输送视为一个由多个子系统组成的排队系统,在这一系统中有活动实体(油料)在其中流动。对此动态过程进行模拟分析,结合优化技术,定量分析各种输送方案的军事经济效益,为组织计划联合战役油料输送提供有效的决策支持。     

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。