各种指数基金模型的实证比较分析

在指数基金管理方面，存在着多种优化的指数投资组合的构建方法和绩效评估方法，本文以实证研究的形式，比较分析了由5种“选股”方法和5种“资金配置”方法所构成的25种投资组合在各种绩效评估方法下的表现。最终得出结论认为，在遗传算法下利用DMinMax模型配置资产权重将具有较好的投资绩效。     

求解工程机械传动轴刚度的新算法

利用奇异函数导出轴的弯矩和挠曲线的通用表达式，借助计算机编程和采用一维优化方法，探讨了轴在复杂载荷作用下最大变形的求解方法，并给出了计算实例。     

遗传算法及其在客户关系管理中的应用研究

遗传算法是一种宏观意义下的仿生优化算法，它模拟生物在自然环境中的遗传和进化过程而形成的一种自适应全局优化概率搜索算法。这种算法可以用于对海量的客户信息进行搜索，提取对决策有用的信息，让企业在激烈的市场竞争中处于有利地位，最终达到最高利润。本文还通过一个简单的实例研究将该算法应用在客户关系管理中。     

基于微粒群优化算法的物流配送中心选址问题研究

结合物流配送中心选址的特点，建立数学模型．在此基础上研究了基于微粒群算法的物流多配送中心选址问题，得到一种新的多配送中心选址方法。仿真结果证明此方法比传统选址方法更适合多配送中心选址和非线性问题的优化，并且具有传统算法所不具备的灵活性，适用多样的物流配送模型。     

蚁群算法在物流配送路径优化问题上的应用

物流配送路径优化是现代物流配送服务的关键环节之一,需要一个快速而有效的求解算法,构建了物流配送路径优化问题的数学模型,并应用蚁群算法加以求解。在模拟试验基础上,得出了蚁群算法对物流配送路径优化问题十分有效的结论,探索出了一条高效求解物流配送路径优化问题的新途径。     

基于PSIM的新型电流源PMSM变频调速研究

车用大功率PMSM变频调速系统,由于行驶环境因素的影响,依靠霍尔传感器或光电编码器进行转速测量的可靠性不高,而无位置传感器技术能较好地解决这一问题。此外,传统的电压源逆变器不适合大功率变频调速,而反阻断IGBT器件不断降低的成本使电流源逆变器的应用成为趋势。现基于Powersim公司开发的PSIM软件,对采用自适应积分法进行转速和转子位置估算的新型电流源PMSM变频调速系统进行仿真研究。     

Interactive visualization for research contextualization in international business

We respond to calls for advances in the contextualization of international business (IB) research by introducing interactive visualization as a methodology for generating contextual insights during the exploratory phases of IB research projects. We suggest that applying interactive visualization early on improves contextualization by means of simultaneous dynamic representations of various phenomena and their respective properties and relationships, even for phenomena that have been widely researched before, like in the cases of international joint ventures and MNE foreign direct investment. The goal of this introduction is to make interactive visualization more accessible to IB scholars.     

Does the spatial representation affect criteria weights in environmental decision-making? Insights from a behavioral experiment

The need and interest to consider cognitive and motivational biases has been recognized in different disciplines (e.g. economics, decision theory, risk analysis) and has recently reached environmental decision-making. Within this domain, the intrinsic presence of a spatial dimension of both alternatives and criteria calls for the use of maps throughout the decision-making process to properly represent the spatial distribution of the features under analysis. This makes spatial Multi Criteria Decision Analysis (MCDA) a particularly interesting domain to explore new dimensions of cognitive biases. This study proposes a behavioral experiment aimed at discovering to what extent the spatial visualization (i.e. maps) of criteria versus the non-spatial one (i.e. tables) can bias the weight elicitation phase of a spatial MCDA process. The experiment simulates a very common analysis in environmental and land use planning: land suitability analysis. Our findings show that there are significant consequences on how important we perceive a certain criterion to be, depending on whether it is represented as a map or as a table among a mix of maps and tables. Indeed, the map representation of the same criterion leads to higher weights attributed to that criterion compared to the table representation. Visualizing the same information as a map or as a table, although technically equivalent, is thus not psychologically equivalent for Decision Makers. The results of this experiment are expected to have implications for spatial decision-making processes, by generating better awareness on the impacts of map-mediated land suitability analysis.     

Making sense of complex data using interactive data visualization

An important role for accountants today is to provide decision support to senior management by assisting them in the analysis of large, complex data sets. Interactive data visualization (IDV) facilitates this process by allowing users to navigate, select, and display data via an easy-to-use interface often used as a component of data analytics. Given the increasing popularity of IDV as a tool for making sense of complex data, it is important that accountants become familiar with and learn how to use this technology. This case provides a hands-on opportunity to organize complex accounting data to create IDVs for decision makers to use. Further, the case enables students to understand the potential impact of IDVs on preparers and users of accounting information. Students will assume the role of a division controller in a hypothetical company and create an IDV to assist the chief executive officer (CEO) in decision making.     

一种雷达回波数据的实时压缩算法

本文研究了脱靶量测量中的雷达回波数据的实时压缩问题，通过对作匀速直线运动目标的多普勒信号特征的分析，提出了一种基于离散余弦变换（DCT）的多普勒信号的变换域压缩算法，并讨论了根据重构信号由高分辨率谱估计及非线性最小二乘拟合进行脱靶量测量的问题。