VFD GU384x32L-3900模块特性及应用

GU384x32L-3900是一款内藏驱动电路的、384×32点阵式VFD显示模块。介绍了GU384x32L-3900模块的基本结构及软件编程、硬件应用等特性并探讨了其在实际中的应用。     

实验室排课系统开发与使用

实验室是学生实践实验的必要场所,但是所有高校都会面临着实验室少,学生人数多,如何更好分配实验室的使用,是实验室管理人员值得考虑的首要问题。针对此问题,本院校实验室结合自己实验室的真实情况编写实验室排课系统。     

一种基于完全独立集的排课算法

班级、教师、课程、教室、时间是课表的基本要素,通过把排课转化为求图的完全独立集,解决了时间冲突问题和合班课问题;根据教室资源限制,对独立集的个数和大小进行控制,解决了教室完全匹配问题和一门课程的不同教室安排问题.为实现排课软件提供了一个面向实际的算法.     

基于面向对象分析的高校课表编排系统

排课表问题是一个涉及因素多、结构复杂的典型组合规划问题 .采用面向对象分析方法设计的课表编排系统具有结构稳定、易维护、易重用的特点 ,使得系统的扩充与修改十分方便 .此外 ,对排课表问题涉及的算法及数据模型进行了讨论 ,为各类不同高校开发排课软件找到了一种实用方法 .     

Analysing stability and investments in railway networks using advanced evolutionary algorithms

We consider a network of periodically running railway lines. Investments are possible to increase the speed and to improve the synchronisation of trains. The model also includes random delays of trains and the propagation of delays across the network. We derive a cost‐benefit analysis of investments, where the benefit is measured in reduced waiting time for passengers changing lines. We also estimate the actual mean waiting time simulating the train delays. This allows us to analyse the impact that an increasing synchronisation of the timetable has on its stability. Simulation is based on an analytical model obtained from queueing theory. We use sophisticated adaptive evolutionary algorithms, which send off avant‐garde solutions from time to time to speed up the optimisation process. As there is a high correlation between scheduled and estimated waiting times for badly synchronised timetables, we are even able to include the time consuming simulation into our optimisation runs.     

Exact formulations and algorithm for the train timetabling problem with dynamic demand

In this paper we study the design and optimization of train timetabling adapted to a dynamic demand environment. This problem arises in rapid train services which are common in most important cities. We present three formulations for the problem, with the aim of minimizing passenger average waiting time. The most intuitive model would consider binary variables representing train departure times but it yields to non-linear objective function. Instead, we introduce flow variables, which allow a linear representation of the objective function. We provide incremental improvements on these formulations, which allows us to evaluate and compare the benefits and disadvantages of each modification. We present a branch-and-cut algorithm applicable to all formulations. Through extensive computational experiments on several instances derived from real data provided by the Madrid Metropolitan Railway, we show the advantages of designing a timetable adapted to the demand pattern, as opposed to a regular timetable. We also perform an extensive computational comparison of all linear formulations in terms of size, solution quality and running time.     

合班问题的数学模型

本文首次建立了我国高校计算机排课时合班问题的数学模型，它是一个非线性的整数规划问题。本文将集中讨论二维合班问题。     

中小学课表智能调度的一个数学模式

提出了实现中小学课表智能调度的一个数学模式，应用人工智能深度通历搜索算法，解决了约束的数量化，并作出数据流程程序框图．     

虚拟候车环境内视觉线索目视管理对乘客寻路行为的影响

在虚拟候车环境中,研究视觉线索所提供的信息与乘客视觉信息需求的一致性对其登乘行为的影响,通过调整候车环境中提供寻路信息的两种视觉线索(候车信息屏和车站检票口布局结构)与乘客所需信息的目视统一性,以完成任务的总时间、看屏时间及行动时间等作为乘客寻路表现的指标来评价不同形式的两种视觉线索的功能,为车站目视化管理提供科学依据。实验结果表明:候车信息屏上信息呈现的顺序在与使用者的目视编码需求保持一致时,乘客有较好的寻路表现;与顺序型和奇偶型布局相比,AB型布局能使乘客在较短的时间内形成空间认知,是一种对布局结构进行目视管理的理想类型。