A Decision Support Method for Truck Scheduling and Storage Allocation Problem at Container

Truck scheduling and storage allocation, as two separate subproblems in port operations, have been deeply studied in past decades. However, from the operational point of view, they are highly interdependent. Storage allocation for import containers has to balance the travel time and queuing time of each container in yard. This paper proposed an integer programming model handling these two problems as a whole. The objective of this model is to reduce congestion and waiting time of container trucks in the terminal so as to decrease the makespan of discharging containers. Due to the inherent complexity of the prob-lem, a genetic algorithm and a greedy heuristic algorithm are designed to attain near optimal solutions. It shows that the heuristic algorithm can achieve the optimal solution for small-scale problems. The solutions of small-and large-scale problems obtained from the heuristic algorithm are better than those from the genetic algorithm.     

基于动态terminal滑模控制实现混沌系统的同步

分析一类含有外部噪声干扰的混沌系统的同步控制问题,设计了一个动态terminal滑模控制器,使同步误差系统的状态在有限时间内收敛到零,系统的初始状态始终保持在滑模面上,从而消除了普通滑模控制的到达阶段.通过对Duffing-Holmes系统的同步仿真,验证了该方法的可行性.     

成果转化的协同商业模式

分析了太原火炬来特科技服务有限公司的服务特色，以及其创造的包含业务流程、目标客户、协同网络、核心能力等在内的成果转化协同商业模式，介绍了运作成果转化协同商业模式所取得的社会效益和经济效益．并提出了创新协同商业模式的具体措施。     

A Lagrangian relaxation-based algorithm for the allocation of yard cranes for yard activities with different priorities

This paper proposes a mixed integer programming model for the allocation of rail mounted gantry cranes for four basic yard activities with different priorities.The model pays special attention to the typical features of this kind of gantry cranes,such as a restricted traveling range and a limited number of adjustments during loading and discharging operations.In contrast to most of the literature dealing with these four yard activities individually,this paper models them into an integrated problem,whose computational complexity is proved to be NP-hard.We are therefore motivated to develop a Lagrangian relaxation-based heuristic to solve the problem.We compare the proposed heuristic with the branch-and-bound method that uses commercial software packages.Extensive computational results show that the proposed heuristic achieves competitive solution qualities for solving the tested problems.     

集装箱堆场进口箱翻箱落位仿真分析与启发式优选算法

集装箱码头运作优化的重要目标之一是降低堆场翻箱率.进口箱提箱过程中的翻箱落位优化是降低码头翻箱率的重要途径.在对集装箱码头堆场翻箱过程分析的基础上建立了基于Petri网的翻箱模拟仿真模型，通过仿真模拟分析了进口箱翻倒概率的相关性影响因素；建立了翻箱概率与翻箱落位后的二次翻箱量估计模型；基于翻箱量估计最小规则设计了集装箱堆场翻箱落位优化启发式算法，利用仿真实验对所提出的算法与OH算法和IH算法进行了比较分析，实验结果表明在求解较大规模问题时算法精度可优于上述两种算法15%以上.     

基于商品比较搜索引擎的客户端电子商务模型(英文)

本文设想了一个基于商品比较搜索引擎的客户端电子商务模式,此模式实现了网上与网下购物方式的整合,并具有很强的灵活性与有效性.     

一起110kV复合套管充油终端故障分析及对策

通过对一起发生故障的110kV电缆线路户外电缆终端进行解剖,分析认为造成故障的主要原因是应力锥与电缆表面界面压力不足及电缆绝缘表面处理可能存在缺陷,并提出防止该类故障的对策。     

SQLite数据库在电报终端系统中的应用

SQLite是免费使用的开源单机数据库,无需配置和安装,且数据库是一个文件,非常容易实现数据库文件复制、移动和跨平台共享。在电报终端系统中,通过采用SQLite数据库,将电报报文、会话和事件等业务内容很好的管理了起来,并大大减轻了电报终端系统的设计和开发等工作。     

泛在学习网络环境中的技术支持

泛在学习作为一种新型的学习模式，具有永久性、易获取性、即时性、交互性等特点，它是未来学习的一种方向。泛在学习网络环境为泛在学习的发生创设了条件，因此构建泛在学习网络环境尤为重要。本文从技术的角度出发，从三个方面论述了泛在学习网络环境中的技术支持。     

基于正切Sigmoid函数的跟踪微分器

通过引入神经网络中的正切Sigmoid激励函数和终端吸引子函数,构造了一种非线性跟踪微分器。采用完备的稳定性理论证明了所设计跟踪微分器的渐近收敛性,并通过扫频测试分析其频域特性,总结出参数整定规则。和之前的文献相比,进一步优化了跟踪微分器的结构,整合了功能重叠的参数使得更易调参。同时,加入了终端吸引子函数降低高频信号引起的颤振使得噪声抑制能力更强。仿真结果表明,所设计的跟踪微分器具备对包含一定噪声干扰的正弦信号的滤波和求导能力,且响应速度快、精度高,具备对方波信号的快速稳定跟踪和广义导数逼近的能力,且具有更强的噪声抑制能力。