Parallel machine scheduling with eligibility constraints: A composite dispatching rule to minimize total weighted tardiness

We study a parallel machine scheduling problem, where a job j can only be processed on a specific subset of machines M_j, and the M_j subsets of the n jobs are nested. We develop a two‐phase heuristic for minimizing the total weighted tardiness subject to the machine eligibility constraints. In the first phase, we compute the factors and statistics that characterize a problem instance. In the second phase, we propose a new composite dispatching rule, the Apparent Tardiness Cost with Flexibility considerations (ATCF) rule, which is governed by several scaling parameters of which the values are determined by the factors obtained in the first phase. The ATCF rule is a generalization of the well‐known ATC rule which is very widely used in practice. We further discuss how to improve the dispatching rule using some simple but powerful properties without requiring additional computation time, and the improvement is quite satisfactory. We apply the Sequential Uniform Design Method to design our experiments and conduct an extensive computational study, and we perform tests on the performance of the ATCF rule using a real data set from a large hospital in China. We further compare its performance with that of the classical ATC rule. We also compare the schedules improved by the ATCF rule with what we believe are Near Optimal schedules generated by a general search procedure. The computational results show that especially with a low due date tightness, the ATCF rule performs significantly better than the well‐known ATC rule generating much improved schedules that are close to the Near Optimal schedules. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 249–267, 2017     

一种楔块式单向超越离合器结构参数优化设计

为优化楔块式单向超越离合器的结构参数,根据漂浮式微型波力发电装置对超越离合器的要求,建立楔块式超越离合器结构参数的数学模型。以体积最小为优化目标,建立接触疲劳强度和各个尺寸的约束条件,并利用Matlab软件的优化工具箱求解数学模型。最后将常规设计参数和优化设计参数进行比较,结果表明:优化设计的体积只有常规设计的72.33%;漂浮式发电装置的传动系统结构更加紧凑,质量更轻。     

卫星导航接收机延迟锁定环鉴相器有限字长分析

码相位鉴别器作为延迟锁定环的主要组成部分,其性能直接影响了接收机伪码的跟踪精度。针对输入信号有限字长效应对鉴相器性能的影响,提出一种新的基于信号统计特性的分析方法,分析了归一化早迟幅度鉴相器输入信号有限字长对输出性能的影响。理论分析和仿真结果表明,字长效应在输入信号高信噪比下比低信噪比时明显,随着信噪比的增加,由有限字长导致的伪码跟踪精度损失将增加,而当输入信号采用4bit以上的量化时,字长效应对伪码跟踪性能的影响将可忽略。该结论可用于指导接收机低功耗小型化设计。     

反腐败中“保护主义”现象的原因及其治理

在我国的反腐败斗争中,有一种保护主义现象。它来自社会各个方面,存在于人们的思想感情、政治倾向及权力运作等各个领域,是影响反腐败斗争深入开展的严重障碍。文章从我国当前反腐败斗争的社会现实出发,着重列举了“保护主义”在党员、干部思想行为上的主要表现及其原因,提出了治理办法：要教育广大党员、干部进一步加强建设有中国特色的社会主义理论和社会主义市场经济理论的学习,确立社会主义的改革开放观;要把清除“保护主义”影响的工作纳入源头治理的范畴,实行综合治理;要切实落实党风廉政建设责任制,增强各级领导干部反腐败的责任意识,加大党内和群众监督的力度;要建章立制,加强对党风廉政建设工作的检查和考核。     

基于GIS的层次分析法在后勤配置地域辅助决策中的应用

后勤配置地域选定合理与否,将直接影响后勤保障的质量,影响作战结局。本文根据后勤配置地域选定的原则,分析了后勤配置地域选定影响因素,结合地理信息系统（GIS）与层次分析法,对其中地理环境要素进行量化分析,构建指标体系和模型,对后勤配置地域选定进行综合评估,最后提出运用计算机进行辅助决策的方法和思路。论文中指标体系、模型和方法,经初步论证和实例检验是可行的,为相关项目的研发提供一定的理论依据。     

信息技术与初中数学课程整合的实践

当前我国基础教育领域正在进行一场意义深远的课程改革,促进信息技术与课程整合成为其中的重要内容之一。信息技术与中小学数学学科的整合,使得中小学数学教学中学习内容和学习形式、教学观念和教学方式都产生了一系列的变化,本文通过在初中数学教学中进行的信息技术与课程整合实践尝试,总结了将信息技术有效地与中学数学课程整合,可以培养学生学习数学兴趣和实践能力。     

C4ISR系统开发的仿真模型描述研究

C4ISR(Command、Control、Communication、Computer、Intelligence、Surveillance and Reconnaissance)系统开发的仿真模型涉及多个应用领域,具有多粒度、阶段相关性等的特性.本文提出了C4ISR系统开发的仿真模型体系,给出了仿真模型的规范化描述....     

一种基于知识因素表示理论的装备信息分类描述方法

当前信息分类的形式化描述是信息集成中一个研究重点和难点,基于知识的因素表示理论能够描述概念和概念之间的关系,并通过概念之间的关系描述概念的语义,该方法具有知识描述的统一框架和严格的数学理论基础.通过对装备信息分类方法研究,提出了装备全系统全寿命信息体系结构模型和基于知识因素表示理论的装备信息分类描述方法,并结合装备基础...     

基于SysML的车辆信息系统设计

针对目前车辆信息系统缺乏有效设计方法的现状,结合新时期车辆信息系统的特点,提出了一种基于SysML的车辆信息系统设计方法。该方法明确了车辆信息系统设计过程的阶段和产物,并通过标准建模语言SysML的运用,用模型来支持系统的设计和有效性验证。该方法在智能巡航系统的设计中得到了运用。实践结果表明,该方法不仅能够自顶向下完整地设计系统、利用可视化的语言准确清晰地描述系统,而且能够在系统设计层面对系统功能逻辑和数据流进行动态仿真和迭代验证。该方法能够较好地指导新时期车辆信息系统的设计过程,满足信息系统的设计要求。     

An improved adaptive differential evolution algorithm for single unmanned aerial vehicle multitasking

Single unmanned aerial vehicle (UAV) multitasking plays an important role in multiple UAVs cooperative control, which is as well as the most complicated and hardest part. This paper establishes a three-dimensional topographical map, and an improved adaptive differential evolution (IADE) algorithm is proposed for single UAV multitasking. As an optimized problem, the efficiency of using standard differential evolution to obtain the global optimal solution is very low to avoid this problem. Therefore, the algorithm adopts the mutation factor and crossover factor into dynamic adaptive functions, which makes the crossover factor and variation factor can be adjusted with the number of population iteration and individual fitness value, letting the algorithm exploration and development more reasonable. The experimental results implicate that the IADE algorithm has better performance, higher convergence and efficiency to solve the multitasking problem compared with other algorithms.