求解VRPTW问题的多目标模糊偏好蚁群算法*

通过分析多目标的、有时间窗的车辆路径问题,对各个目标进行多属性模糊评判,结合相关专家的综合意见以及决策者自身对专家意见的偏好,将决策者对目标属性的离散意见转换为对各目标的综合意见;通过定义一种模糊综合排序指标来确定决策者对各目标的偏好权重,依据目标权重和各目标函数的规范化处理值,构建评价有时间窗的车辆路径问题的多目标模糊综合适应度函数;采用最大-最小蚂蚁系统算法对该问题进行求解;最后通过一个算例来说明该算法的有效性.     

Probabilistic analysis of climate change impacts on timber power pole networks

The IPCC, a collection of 800 of the world’s leading climate change scientists, state that future climate related risks to society and infrastructure are likely to change. It is therefore important for the power industry to consider the possible impacts of future climate change on infrastructure performance. However, very few studies have been published to date examining the potential impacts of climate change on power distribution poles networks, which constitute large and valuable infrastructure assets worldwide. The work presented in this paper builds on the limited research in this area by developing a framework for examination of the possible impacts of climate change on timber power pole networks. The time-dependent event-based model developed herein allows network maintenance and predicted climate change effects to be considered, while also incorporating uncertainty associated with both climate change predictions, and structural reliability modelling of infrastructure networks over time. The results of a case study which examined notional power pole networks for five Australian cities revealed that the effects of climate change on predicted power pole performance can be significant. Wind failures for the Brisbane location were predicted to increase by approximately 60% when considering a period from 2015 to 2070, under the severe climate change scenario. However, the predicted impacts are also highly regionally variable, with one location considered experiencing positive climate change impacts for a medium climate change scenario.     

基于DH-PSF与DG结合三维荧光动态成像重构方法研究及处理结果

针对超分辨成像方法景深不够的局限性,发展了具有超大景深的三维超分辨成像系统,通过点扩展函数的改造,形成携带有三维信息的双螺旋点形式,同时结合变形光栅能够在12μm轴向范围内实现荧光分子的实时位置信息获取,为了精确地获得荧光分子的定位,利用模式识别方法实现图像重构,通过系统标定获取匹配图像,利用相关性计算以及拟合算法获取分子的三维位置信息。实验验证,该方法可以高效实现图像信息获取,为DH-PSF与DG结合方法实现三维成像奠定了基础。     

基于协商的模具虚拟企业生产项目规划

项目规划是虚拟企业建立和运行的关键环节。虚拟企业在不同行业有不同的组织和运行模式，模具虚拟企业是一种基于项目的动态联盟，项目工期规划是盟主与合作伙伴充分协商、协调一致的过程。在分析模具虚拟企业工期协商过程的不确定性因素基础上，提出串行序贯协商的协商机制，定义盟主和潜在合作伙伴的工期方案效用模型及其修正方法，提出盟主协商策略的产生方法，通过示例解释方案效用值的计算，并通过模具生产实例验证了规划方法的可行性。     

基于模糊效用值排序的模糊层次分析法在机械运动方案优选中的应用

为了有效地对机械运动方案进行优选决策,在层次分析法的基础上,引入群决策方法和模糊效用值排序理论,提出一种基于三标度法的群体多准则模糊层次分析法。在多人决策情况下,首先利用简化的三标度法直接生成一致性的判断矩阵,在充分考虑决策者和决策对象不确定性的同时,将群体意见集成到三角模糊数中,最后通过模糊数总效用值排序获得各方案优先顺序。实例表明,该方法简化了分析过程,同时又综合了群体的意见,从而为机械运动方案优选提供了一种实用化方法。     

Optimal resource allocation for heterogeneous traffic in multipath networks

Multipath networks allow each source to send packets from it to its destination over multiple paths, which increases the available bandwidth and throughput for source‐destination pairs. Recently, a variety of flow control schemes have been presented for multipath networks to achieve optimal resource allocation. Unfortunately, much of the investigation focused on elastic traffic with controllable packet injection rates. Networks have witnessed an increase in real‐time traffic (voice and video), which are inelastic. We consider resource allocation for heterogeneous traffic in multipath networks and formulate an optimization problem, which is intrinsically difficult nonconvex. In order to address the aforementioned issue and obtain the optimum, we approximate an equivalent problem of the original optimization problem to a strictly convex problem and present a primal‐dual resource allocation algorithm for the approximation problem, which converges to an optimal solution satisfying the Karush‐Kuhn‐Tucker conditions of the original problem. We evaluate its convergence performance through theoretical analysis and illustrate it with numerical examples. Copyright © 2014 John Wiley & Sons, Ltd.     

试论中国服装行业的教育供求现状与变革

介绍了中国服装教育的现状,分析亍其与国外服装教育的差异以及服装行业需求的距离,深入剖析了中国现阶段服装企业的现状及人员配置现状,提出了解决我国服装高等教育与服装企业需求人才之间差距的对策.     

Competitive Advantage In Construction: Comment

Two approaches are described which aid the selection of the most appropriate procurement arrangements for a building project. The first is a multi-attribute technique based on the National Economic Development Office procurement path decision chart. A small study is described in which the utility factors involved were weighted by averaging the scores of five ‘experts’ for three hypothetical building projects.

A concordance analysis is used to provide some evidence of any abnormal data sources. When applied to the study data, one of the experts was seen to be atypical.

The second approach is by means of discriminant analysis. This was found to provide reasonably consistent predictions through three discriminant functions. The analysis also showed the quality criteria to have no significant impact on the decision process.

Both approaches provided identical and intuitively correct answers in the study described. Some concluding remarks are made on the potential of discriminant analysis for future research and development in procurement selection techniques.     

畸变信号条件下电能合理计量方法探讨

在非稳态畸变信号条件下，建立了电网的数学模型，提出了一种合理计量电能的新方法，并将小波分频带测量方法用于功率的分解测量，在理论上实现了畸变功率的准确测量。仿真分析验证了所述方法的正确性。该方法将促使电功率测量理论更加完善，为研发适用范围更广、计量更合理的电能表提供技术先导。     

Estimating utilities from incomplete information

This paper shows how numerical values of utility can be estimated from incomplete information, by treating the unknown utilities as random variables. Preferences between the possible decision outcomes, together with the decision-maker's response to various simple hypothetical lotteries involving these outcomes, are - used to define a region oifeasibilityJorthe utilityiunction.This is combined.within Bayes' theorem with a prior probability density function for the unknown utilities. The prior probability is specified through an invariance argument using the uniqueness of utility only up to a positive linear transformation. The invariance argument stems from a maximum entropy principle and the invariance that must obtain under allowable transformations.