MAS环境下实现Agent交互协作的关键技术

讨论了MAS环境下实现Agent交互协作的关键性问题。在分析Agent协同设计目标的基础上,将遗传算法应用于子任务的调度,提高了Agent协同工作的效率。应用Agent的通信语言建立了一个基于知识查询与操纵语言的Agent通信模型,通过引入Agent位置追踪和Agent消息缓存机制解决了Agent移动过程中遇到的位置追踪和通信失效问题。     

浅论教师在多媒体教学中的主体地位

运用现代多媒体教学手段，是实现教育方法现代化的必由之路，但教师在现代多媒体教学中的主体地位是不可替代的，多媒体教学在高等教育教学中发挥的作用如何，主要取决于教师的主体地位。     

一种基于MPLS业务量工程的选路机制

分析了诸如受限路由等传统QoS路由机制业务震荡现象出现的原因给出了呼叫级QoS路由和分组级QoS路由的概念在此基础上提出了多标签QoS路由机制(MLR)作为一种分组级QoS路由机制多标签QoS路由机制不仅能够从理论上避免业务震荡现象的出现同时由于采用了业务量工程的业务均衡的思想从而提高了全网的业务性能指标仿真的数据结果可以在同时运行实时业务和非实时业务下得到     

无线传感器网络中覆盖性问题的研究

无线传感器网络由大量的具有低能量,短寿命并且不可靠的传感器节点组成,因此在设计无线传感器网络时一个主要的目标在于保证足够的覆盖率以及能量可靠性的前提下可以延长网络的寿命。本文介绍了几种减少能量消耗以延长网络寿命的节点调度方法,并比较了各种方法的优缺点,指出其应用环境和需要进一步研究的工作。最后在这几种算法的基础上提出了一种新的算法。     

Stochastic Modelling of Times to Temperature for Furnaces Supplying Titanium Blooms to a Rolling Mill at TIMET

In conjunction with TIMET at Waunarlwydd (Swansea, UK) a model has been developed that will optimise the scheduling of various blooms to their eight furnaces so as to minimise the time taken to roll these blooms into the finished mill products. This production scheduling model requires reliable data on times taken for the various furnaces that heat the slabs and blooms to reach the temperatures required for rolling. These times to temperature are stochastic in nature and this paper identifies the distributional form for these times using the generalised F distribution as a modelling framework. The times to temperature were found to be similarly distributed over all furnaces. The identified distributional forms were incorporated into the scheduling model to optimise a particular campaign that was run at TIMET Swansea. Amongst other conclusion it was found that, compared to the actual campaign, the model produced a schedule that reduced the makespan by some 35%.     

挤扩多盘桩土体极限承载力影响因素的研究

根据挤扩多盘桩桩土效应及土体极限承载力的理论分析和试验研究的成果,对挤扩多盘桩土体极限承载力的多种影响因素进行了定性或定量的分析,为进一步综合考虑各项因素进行挤扩多盘桩基础设计,提供了理论依据。     

智能化仪表传感器非线性校正的实现

本文描述了传感器非线性特性预处理的方法．实践证明该方法适用于标准或非标准特殊传感器，处理结果使智能型仪表的测试精度有显著提高．     

考虑交通时间与设备转换时间的跨区域就医调度优化问题

在资源共享时代背景下,跨区域就医可以很好地解决患者日益增长的就医需求与医疗资源紧张的矛盾。本论文以医疗联盟为研究对象,在关键医疗资源共享的前提下,通过患者跨区域就医实现就医诊断延误最小化,以满足患者就医需求。本研究同时考虑了患者跨区域交通时间与基于患者诊断类型的设备转换时间,以最小化患者就医总延迟为目标,分配患者就诊医院及优化患者就诊/检查顺序。针对该问题,论文首次提出以最早交货期原则（EDD rule）为基础,以患者再分配为主导的EDD-ReAss1和EDD-ReAss2启发式算法,结合局部搜索算法以进一步提高就医调度方案的质量,缩短患者诊断/检查等待时间。实验结果表明,新启发式算法EDD-ReAss1和EDD-ReAss2算法性能显著好于EDD,SPT和LPT等调度规则;在较短运算时间内Swap局部搜索算法性能最优。     

Data relaying with constraints in hierarchical sensor networks

In this paper we present and discuss several optimisation problems that arise in the management of data flow in wireless sensor networks (WSNets). We consider a hierarchical architecture for WSNets composed of sensors, relays, and relay gateways. Sensors send data they generate at a known average bit rate to relays in one hop. The relay nodes use a multi-hop mechanism to reach a set of assigned gateways which then forward the data directly to the base station. We are concerned with finding an assignment of relay gateways to relays so that certain constraints are satisfied. We define a unified model in which constraints such as lifetime, data delay, and data flow splitting are formulated in terms of four optimisation problem in graphs.     

Staff rostering in call centers providing employee transportation

We address the staff rostering problem in call centers with the goal of balancing operational cost, agent satisfaction and customer service objectives. In metropolitan cities such as Istanbul and Mumbai, call centers provide the transportation of their staff so that shuttle costs constitute a significant part of the operational costs. We develop a mixed integer programming model that incorporates the shuttle requirements at the beginning and end of the shifts into the agent-shift assignment decisions, while considering the skill sets of the agents, and other constraints due to workforce regulations and agent preferences. We analyze model solutions for a banking call center under various management priorities to understand the interactions among the conflicting objectives. We show that considering transportation costs as well as agent preferences in agent-shift assignments provides significant benefits in terms of both cost savings and employee satisfaction.