移动Adhoc网络中改进的动态源路由算法研究

实时多媒体业务的普及使得提供QoS保证成为移动自组网研究的热点问题。然而移动节点的自由移动和拓扑动态变化,经常造成已经建立的路径断开而需重构路由,造成通信中断和较大的时延与抖动。该文提出了一种改进的动态源路由协议,采用链路状态探测的方法,找到一条最稳定的路径并在通信过程中实时监测路径状态变化,及时进行软切换,有效降低通信中断的概率,从而提供服务质量保证。     

基于路径恢复的ATM/SDH网状网自愈结构

研究了异步转移模式／同步数字序列的多层网状传输网络中的自愈机制，提出了一种既能提高恢复速度又能降低实现复杂性的基于路径恢复的自愈结构，给出了充分利用网管中心智能的两级恢复路由寻径算法。计算机仿真表明，该结构及其核心算法是可行的，其自愈恢复时间小于文献中已有的方案。     

多种工况下汽车悬挂参数优化

本文采用多自由度汽车振动模型，在多种工况下对悬架参数进行优化，克服了以往单一工况的不足，得到了最优悬架参数的特性曲线。即如果悬架实现了这种阻尼和刚度特性，就可较大程度地改善汽车行驶的平顺性。     

物流配送网的资源优化配置研究

基于图论中的路径优化理论提出了一种物流配送网层次表达模型,该模型以最小化运输成本为优化目的,采用不同的边和权值表示不同的配送方式,通过调整边的分布和边的权值,再利用改进的Dijkstra路由算法在动态变化的配送网络中为配送请求寻找最优运输路径。通过和其他传统配送方法的仿真比较证明层次表达模型在运输成本和配送业务的损失率上都有更好的性能。     

Scheduling material handling vehicles in a container terminal

Increasing global trade has created the need for efficient container ports. The goal of the port is to move containers as quickly as possible and at the least possible cost. Goods that are delayed at the port are inevitably tardy when delivered to the customer, and thus sanctioned by late charges. Two key activities in the port are (i) unloading of containers from truck and then storage in the export area, and (ii) removal of containers from import storage and then loading onto the trucks. Since containers are large and heavy, specialized material handling vehicles are required for transporting them within the terminal. The focus of this paper is on port terminals where straddle carriers are primarily used to move containers. Container terminals typically have well developed computer and communication networks. Through these networks a terminal scheduler will control and schedule the movement of the straddle carrier fleet in real time. The objective of the terminal scheduler is to minimize the empty travel of straddle carriers, while at the same time minimizing any delays in servicing customers. This paper presents a straddle scheduling procedure that can be used by a terminal scheduler to control the movement of straddle carriers. At its core, the procedure is driven by an assignment algorithm that dynamically matches straddle carriers and trucks, as each becomes available. The procedures were developed and tested in collaboration with the largest container terminal operator in the Port of New York and New Jersey. Using a simulation model of the real system, the superiority of the proposed procedure over two alternative scheduling strategies is illustrated.     

Inventory routing problems in a context of vendor-managed inventory system with consignment stock and transshipment

The inventory routing problem involves the integration and the coordination of two components of the logistics value chain: the inventory management and the vehicle routing decisions. In fact, the aim is to jointly decide on the distribution tour, from a distribution centre to a set of locations, and on the inventory policy for each location. Although many research investigations show great interest in policies such as transshipment or dynamic routings on the distribution system performances, these approaches are often criticised in practice as being too restrictive. In this article, we consider the inventory routing framework in a supplier integration context, i.e. a vendor-managed inventory with a consignment stock policy. Under such framework, we show that the transshipment brings more benefits than the classical context. In particular, we consider the case of static routings and we numerically show that transshipment permits to better optimise the distribution tours and to improve the global performance of the supply network.     

Supply vessel planning under cost,environment and robustness considerations

Offshore oil and gas installations need reliable cargo deliveries. The vessels supplying these installations on a periodic basis are expensive and constitute a source of emissions of greenhouse gases. Incorporating vessel speed optimization into the supply vessel planning process may significantly reduce fuel consumption and hence emissions. In addition, speed optimization may yield cost reductions if the number of vessels used does not increase. A main uncertainty factor, especially in the winter season, is the weather conditions which impact sailing and service times. Cost minimization and the application of speed optimization strategies may have implications on the robustness of weekly supply vessel schedules since idle times in the schedules are reduced. We develop a simulation-optimization based methodology that considers costs, emissions and robustness in the generation of weekly supply vessel schedules. Results of analyses conducted on real instances show that robustness requirements may yield both increased emissions and costs in the winter season. However, depending on instance characteristics, different degrees of robustness can be incorporated with both costs and emissions reductions through speed optimization.     

基于改进的蚁群算法的复杂制造系统物流配送路径优化

为了对复杂系统中物流网络进行规划,在分析复杂制造系统物流网络特点的基础上,用多级有向图来对物流配 送问题进行建模。针对物流路径的流量和时间限制,以寻找满足约束条件的最小成本的路径为目标,利用改进的蚁群算 法对配送路径进行规划,最后运用MATLAB语言编程仿真。改进后的蚁群算法克服了一般蚁群算法的不足,提高了算 法的性能,可以解决复杂制造系统的物流网络配送路径优化问题。     

广州市产业结构与就业结构的协调性分析

研究了高速列车与厦深铁路韩江大桥(48+2×80+88+48) m道岔连续梁的空间耦合振动中的桥梁响应问题。以模态坐标法形成结构的动力方程,适用SAP2000形成基本振型并由此获得振型参数,利用Matlab软件编写求解程序,得到了道岔连续梁动力响应的一些成果。     

具有能量回馈的纯电动车驱动控制系统

针对纯电动汽车驱动系统在能量回馈过程中的系统效率不高的问题,设计了以TMS320LF2407为核心的硬件及软件系统,利用SVPWM调制技术结合磁链跟踪技术的控制方法,实现制动过程中电机产生的制动能量回馈到蓄电池中;并在搭建的双电机对拖试验台上进行实验。实验数据表明,永磁同步电机驱动系统具有较高的系统效率,系统效率85%以上的工作点占72. 73%,能够回收较多的能量,提高了续驶里程。