基于双层规划模型的冷链物流网络多目标优化

针对冷链物流时效性强这一特性,应用软时间窗反映客户满意度,并结合T.T.T理论换算货损成本。在考虑满足客户时间窗的条件下,寻找配送中心建设及操作成本、车辆成本、惩罚成本及货损成本所构成的总成本最小时的最优配送方案,建立冷链物流配送选址及路径优化的双层规划模型,并将改进的遗传算法运用到该模型中,借助Matlab软件对具体实例进行求解,得到最优结果,为冷链物流网络多目标优化问题提供理论依据。     

基于模糊机会约束的物流配送路径优化

在建立基于模糊机会约束的物流配送路径优化问题的数学模型基础上,构造了求解该问题的模糊模拟遗传算法。并用实例验证,结果表明用此算法可以有效的求解此类不确定问题,具有良好的寻优能力。     

宽体车车架结构分析与整车性能验证

本次研发的宽体车总质量为40t,是在总质量60t级平台产品的基础上向下衍生而来的。应用三维造型软件建立了矿用自卸车实体几何模型,并对关键结构——车架给出了应力分析时的模型简化方法,根据整车的装配关系和车架的受力特点确定了车架强度有限元分析的边界条件,在此基础上建立了包括车桥、悬挂和车厢在内的整车有限元模型,依据矿用车的典型受力重点选取满载静止或平稳行驶、扭转组合和侧倾举升作业作为分析工况,应用ANSYS软件求解得到各工况下车架的应力大小和应力分布规律。为验证整车的性能,在华润水泥南宁公司矿山对样车进行了为期3个月的性能试验,并对该矿车进行了全面检验,为下一步优化设计提供依据。     

基于边限检验理论关于我国R&D投入和经济增长关系的实证研究——从分解视角的考虑

基于我国1991~2006年间数据,运用边限检验理论对我国R&D投入和经济增长之间的关系进行了实证研究,结果表明:我国R&D投入和经济增长之间存在长期的稳定关系,从短期来看,上期GDP增量和本期企业R&D投入对我国经济增长的促进作用显著;从长期关系看,企业R&D投入对经济增长的推动作用为正,而政府R&D投入、金融机构的R&D贷款对经济增长的推动作用为负。     

Nonparametric fixed effects model for panel data with locally stationary regressors

We develop methods for inference in nonparametric time-varying fixed effects panel data models that allow for locally stationary regressors and for the time series length $T$ and cross-section size $N$ both being large. We first develop a pooled nonparametric profile least squares dummy variable approach to estimate the nonparametric function, and establish the optimal convergence rate and asymptotic normality of the resultant estimator. We then propose a test statistic to check whether the bivariate nonparametric function is time-varying or the time effect is separable, and derive the asymptotic distribution of the proposed test statistic. We present several simulated examples and two real data analyses to illustrate the finite sample performance of the proposed methods.     

基于改进粒子群算法的无人机航迹规划

针对当前基本粒子群算法无人机航迹规划在后期收敛速度比较慢、效率不高、易陷入局部最优等问题,提出一种改进粒子群算法。首先,在迭代前期和后期分段设置惯性权值的调整,实现粒子惯性和寻优行为的平衡;其次,设置一个定值与相邻2次适应度函数最优值比较策略,防止陷入局部最优;最后,引入遗传算法的交叉、变异机制,得出更优的结果。并通过仿真验证了改进粒子群算法在三维空间航迹规划的有效性和可行性。结果表明,与其他航迹规划算法相比,新算法具有路径长度更短、耗时更少、路径更平滑等优点,加快了收敛速度,提高了航迹规划效率和稳定性。因此,改进算法的航迹规划可得到满足约束关系的最优航迹,对实现自主飞行有重要的参考价值。     

NFC协议的模糊测试优化方案

针对NFC协议进行模糊测试方案时产生大量不符合协议规范的无效测试用例而导致测试效率较低的问题,应用图论思想,提出了基于生成的策略与深度优先算法融合后的模糊测试方案。在基于生成的策略下构造测试用例的过程中,遍历由协议规范连接成的测试需求图,以深度优先算法搜索图中覆盖点较多的生成路径,精简测试用例的生成路径,保证生成的测试用例能够接近协议规范。实验分析表明,所提出的模糊测试方案能够有效地减少无效测试用例的生成,提高测试效率。     

食品检验检测中存在的问题分析及应对措施

食品安全是直接关系人们生活的重要问题,同时也是人们所关注的重点问题之一.实施食品安全管理可以有效减少安全事故发生,保障消费者权益.现阶段,食品市场中经常会存在一些安全问题,实施食品安全管理迫在眉睫,本文主要是针对食品检验检测中存在的问题开展分析,完善市场经济管理.     

Optimal surveillance against foot‐and‐mouth disease: the case of bulk milk testing in Australia

Previous foot‐and‐mouth disease (FMD) outbreaks and simulation‐based analyses suggest substantial payoffs from detecting an incursion early. However, no economic measures for early detection have been analysed in an optimising framework. We investigate the use of bulk milk testing (BMT) for active surveillance against an FMD incursion in Australia. We find that BMT can be justified, but only when the FMD entry probability is sufficiently high or the cost of BMT is low. However, BMT is well suited for post‐outbreak surveillance, to shorten the length of time and size of an epidemic and to facilitate an earlier return to market.     

The comprehensive business exam: Usefulness for assessing instructional and student performance outcomes

The authors explore the results of the Comprehensive Business Exam (CBE) administered to business majors during their senior-year business capstone course. The study results identified students' SAT and grade point average as a predictor of CBE performance, and variables that explain the correlation between CBE performance, SAT score, and grade point average are discussed. This study expands the research stream by demonstrating how faculty can use CBE information to more deeply assess student learning at both the course and instructor level than is possible with the Major Field Test for Bachelor's Degree in Business.