一类多资源调度问题的优化算法

若调度系统中的作业或任务需要一个或多个资源共同完成， 则这一类调度问题被称为多资源（或多处理机）调度问题。本文针对Jobshop中的这一调度问题，提出了基于遗传的优化调度算法，并用实例证实了该算法的有效性。     

基于半实物的Ｓ频段卫星测控仿真系统平台设计

该仿真系统是为了满足Ｓ频段卫星测控演练的需要而提出的。根据航天测控系统和Ｓ频段测控设备的特点，明确了仿真系统的组成及功能，并对主要部分进行了详细的描述；确定了仿真系统运行工作模式、主要技术指标、接口之间关系；结合实际应用情况，通过与真星进行比对，证明通过建立半物理仿真数学模型，达到了在数据层上与真星具有等价性，并展望了未来发展方向。     

分布式资源受限多项目调度问题研究综述

传统的资源受限多项目调度集中式决策方法已无法满足信息不对称环境下的多项目管理需求，分布式资源受限多项目调度问题研究的是多个自主决策者分别进行全局资源的协调分配决策与局部项目的调度优化决策。鉴于较强的实际应用背景，这类问题逐渐成为项目调度领域新的研究热点。首先，在系统介绍分布式资源受限多项目调度问题特点与模型构建的基础上，分类梳理并评述了问题求解的代表性方法；其次，总结了分布式多项目调度的相关扩展问题以及在不同领域的典型应用；最后，讨论了目前研究中存在的主要问题与未来可能的拓展研究方向。     

低轨卫星通信系统信道的优化分配研究

低轨道卫星移动通信作为未来个人通信系统的重要组成部分，是利用运行轨道比地球同步轨道低得多的一组卫星，实现移动用户之间或移动用户与固定用户之间的通信。信道资源的有限性制约卫星通信发展，进行卫星通信系统无线资源管理研究，建立高效、合理的信道资源分配模型，对提高卫星通信系统服务质量具有重要意义。本文对低轨卫星通信系统无线资源管理中信道分配的典型策略进行了分析和总结，并展望了这一领域的发展方向。最后，就进一步研究提出建议。     

一种无塔校准方法研究

在地面卫星测控系统中,目前使用较多的有塔校准技术具有一定的局限性,为了克服这种局限性,本文针对已有的卫星测控系统设备提出一种无塔校准方法,给出了具体无塔校相和无塔校零的实现方法.     

遥感影像自动化处理系统处理资源三号卫星影像的方法

资源三号卫星是我国第一颗民用高分辨率立体光学传输型卫星。通过对遥感影像自动化处理系统的二次开发,解决了资源三号卫星影像数据的读入问题。通过大量实验,总结了资源三号卫星影像数据生产作业中的方法技巧,探索出一套基于遥感影像自动化处理系统的影像产品生产流程。     

制冷工程实验用微机测控系统

本文根据制冷工程实验中的需要，提出了一套静、动态数据采集和设备自动控制的微机测控系统的组建方案，并设计了电子膨胀阀的一种驱动电路。实践表明，根据该方案组建的测控系统在制冷工程实验中具有很大的适用性。     

面向对象的制造资源分类与生产规划调度模型研究

在分析制造资源信息构成的基础上，应用面向对象（0－O）的技术，研究制造资源的结构形式及其相互关系，建立了面向对象的制造资源结构模型，为建立制造资源类库乃至工艺知识和工艺数据库奠定了良好的基础，并对制造资源与生产规划调度（PPS）的关系模型进行了研究。     

二元冰蓄冷系统中的测控系统

随着科学技术飞速的发展,越来越多的领域开始使用自动化控制技术,本文主要介绍了二元冰蓄冷系统的计算机测控系统的开发目的,测控系统界面的特点以及此测控系统的主要功能:即对图形对象进行直观操作,包括系统流程的显示、各测点参数以及数据动态趋势曲线的显示、实验数据的自动采集分析、数据库的管理等.     

基于OpenCL的流式应用程序在MPSoC上的动态并行度伸缩调度

分析了嵌入式系统应用程序的复杂化和多样化趋势,面向嵌入式系统常见的流式应用程序,提出了基于开放运算语言(OpenCL)的统一编程框架,并在此框架的基础上设计一个运行时系统,在应用程序可用计算资源发生变化的场景下,该系统可在线调整应用程序的并行度,并进行动态调度。实验结果显示,与已有的Flextream动态调度系统相比,该调度系统在性能上最高可以提场17%,在动态调度的时间开销上最多可以降低7%。     

Mathematical modelling of container transfers and storage locations at seaport terminals

This paper models the seaport system with the objective of determining the optimal storage strategy and container-handling schedule. It presents an iterative search algorithm that integrates a container-transfer model with a container-location model in a cyclic fashion to determine both optimal locations and corresponding handling schedule. A genetic algorithm (GA), a tabu search (TS) and a tabu search/genetic algorithm hybrid are used to solve the problem. The implementation of these models and algorithms are capable of handling the very large problems that arise in container terminal operations. Different resource levels are analysed and a comparison with current practise at an Australian port is done.     

Construction Duration and Cost Simulation via Network-Program-Diagram

This paper outlines the creation of a simulation model used to extrapolate duration and resource requirements needed for the construction of bridges based on a sampling of data obtained during a field research conducted on the construction process of a single bridge. A sampling of statistical data was taken during a field investigation to measure schedule and resource requirements (labor, raw materials and machinery) at various stages of a bridge construction project. This data was used to identify the probability distribution and the associated parameters for the project examined, and a simulation model was built to extrapolate the necessary schedule and resource requirements needed for various stages of similar bridge projects based on Three-Point Estimation Method of Program Evaluation and Review Technique (PERT) and Monte Carlo Method. This simulation model’s resultant data for every process in an applicable construction project can be aggregated to form overall project duration and resource requirement statistical distribution using the Critical Path Method (CPM). The whole construction process will be visualized by a 4-dimensional (4D) model of the project which is created by appending time and resource requirements and to the 3-dimensional (3D) model that is built using the Building Information Modeling (BIM) and Alternativa 3D technology. Based on the simulation results of every procedure’s duration and resource requirements, the Network Program Diagram and Gantt Chart can be drawn with Flex and ActionScript language. Furthermore, with the Network Program Diagram at the core, the 4D model can incorporate simulation’s resultant data with respect to total time and cost of the project to show the condition of resource requirements and the project’s progressing at any time.     

新型电磁驱动AMD控制系统的建模与性能试验

提出了一种新型的结构振动控制系统--电磁驱动AMD控制系统的概念,试制开发了小型电磁驱动AMD控制系统,研究了系统的理论建模并进行了性能试验.从经典物理学电磁场理论、电路克希霍夫定律和量纲对比分析三个角度出发,建立了电磁驱动AMD控制系统的力-电关系模型,给出了以系统相对速度和控制电压为输入量、系统主动控制力为输出量的系统力-电关系模型.对系统进行了大量开环控制模式下的性能试验,试验结果表明,电磁驱动AMD控制系统在结构振动控制所关心的频率范围内,力-电关系是近似线性的.通过试验结果与理论模型预测结果的比较,验证了系统的力-电关系模型的准确性.     

基于圆分布法和时间序列模型的公共自行车需求量分析

为了实现对公共自行车租赁系统需求量的预测,从而能够帮助租赁系统提前做出合理的调度,满足租赁人群出行的需要。提出了基于圆分布法与时间序列模型的定量分析方法。一方面,运用圆分布法分析在潮汐性交通现象下公共自行车租赁需求量的定量特征,从而确定公共自行车租赁的需求高峰时段。另一方面,运用时间序列模型对高峰期的租赁需求量进行分析和预测。通过预测结果与实际值的对比,证实了本文提出的方法的有效性。     

Application and modeling of resource service trust-QoS evaluation in manufacturing grid system

Resource scheduling is the bottleneck in MGrid; the current research on resource scheduling strategy is mainly based on resource performance-QoS (quality of service), but the factor of trust-QoS is ignored, which will result in unreasonable and unpractical scheduling results. In order to enhance the validity and success rate of resource scheduling in a manufacturing grid (MGrid) system, provide high credible resource service abilities and results to the user, the concept of resource service trust-QoS is presented; trust-QoS was introduced into MGrid resource service scheduling and the important roles it plays emphasized. The trust problems existing in the resource service transaction between resource service demanders (RSD) and resource service providers (RSP) are put forward. The trust-QoS relationship model which is capable of capturing a comprehensive range of trust relationships which exist in the MGrid system is put forward. Then a two-layer resource service trust-QoS evaluation model is put forward, including an intra-domain trust-QoS evaluation model and an inter-domain trust-QoS evaluation model. The quantitative evaluating algorithms of trust-QoS degree value are proposed and described in detail, as well as the value of real-time and dynamic updating algorithms of trust-QoS degree. Finally, an application prototype, namely MBRSPP-MGrid, is developed. The experimental results of the case study show that the proposed models and algorithms are effective and useful.     

基于系统动力学的共享资源问题研究

运用系统动力学方法对多品种小批量生产企业内共享资源冲突问题进行了分析.在仿真模型运行结果的基础上,提出了共享资源使用权分级评分及交换机制,这一机制弥补了虚拟外包机制在加工优先级方面的弱势,可优化时间切片法分配动态变化及分配不均衡的情况,从而有针对性地解决企业内部的共享资源冲突问题.     

Maintenance schedule optimisation for a railway power supply system

High reliability is the crucial requirement in railway operation and a power supply system is one of the key components of electrified railways. The cost-effectiveness of the maintenance works is also the concern of the railway operators while the time window on trackside maintenance is often limited. Maintenance scheduling is thus essential to uphold reliability and to reduce operation cost. It is however difficult to formulate the optimal schedule to meet both reliability and maintenance cost for a railway power supply system as a whole because of its functional complexity and demanding operation conditions. Maintenance scheduling models to achieve reliability and maintenance cost are proposed in this study. Optimisation algorithms are then developed to attain the solutions of the model. The applicability of the models and efficiency of the solution algorithms are demonstrated in an example. The proposed methods are vitally important for the railway engineers and operators to assure the service quality in the increasing demands of the modern electrified railways.     

The Integration Model of Closed-Loop Supply Chain Resource Allocation Considering Remanufacturing

Logistics resource planning is an integration model of materials requirement planning and distribution resource planning which is a resource allocation technology. It is a technology of satisfying both production material supply and resource allocation optimization which is based on inventory management. For the remanufacturing supply chain, recycling and rebuilding of products form a reverse materials movement loop which challenges the traditional logistics resource planning system. For the characteristics of reverse logistics of remanufacturing supply chain, we propose a closed-loop supply chain resource allocation model based on autonomous multi-entity. We focus on integration resource allocation model of materials requirement planning and distribution resource planning considering remanufacturing.     

Novel Computing for the Delay Differential Two-Prey and One-Predator System

The aim of these investigations is to find the numerical performances of the delay differential two-prey and one-predator system. The delay differential models are very significant and always difficult to solve the dynamical kind of ecological nonlinear two-prey and one-predator system. Therefore, a stochastic numerical paradigm based artificial neural network (ANN) along with the Levenberg-Marquardt backpropagation (L-MB) neural networks (NNs), i.e., L-MBNNs is proposed to solve the dynamical two-prey and one-predator model. Three different cases based on the dynamical two-prey and one-predator system have been discussed to check the correctness of the L-MBNNs. The statistic measures of these outcomes of the dynamical two-prey and one-predator model are chosen as 13% for testing, 12% for authorization and 75% for training. The exactness of the proposed results of L-MBNNs approach for solving the dynamical two-prey and one-predator model is observed with the comparison of the Runge-Kutta method with absolute error ranges between 10⁻⁰⁵ to 10⁻⁰⁷. To check the validation, constancy, validity, exactness, competence of the L-MBNNs, the obtained state transitions (STs), regression actions, correlation presentations, MSE and error histograms (EHs) are also provided.     

A multi-level heuristic search algorithm for production scheduling

This paper introduces a multi-level heuristic search algorithm for identifying the optimal production schedule considering different levels of manufacturing requirements and constraints. The multi-level heuristic search algorithm generates search nodes at different levels. An upper level search node is composed of lower level search nodes, and evaluated based upon the evaluation of these lower level search nodes using a heuristic function. A production scheduling system was developed based upon the multi-level heuristic search algorithm. In this scheduling system, production requirements and constraints are represented at three different levels: task level, process level, and resource level. A task describes a manufacturing requirement. A process defines a method to achieve the goal of a task. A resource, such as a machine or a person, is a facility for accomplishing a required process. The multi-level heuristic search-based scheduling system was implemented using Smalltalk, an object-oriented programming language. Discussions on scheduling quality and efficiency are addressed at the end of this paper.