我国企业年金税收政策之我见

阐述了我国企业年金税收政策。分析了目前企业年金税收政策存在问题。指出了现行政策对我国年金发展存在的影响,以期促进我国企业年金的发展。     

西安市小学生行为问题及其影响因素调查分析

为了解儿童心理发育状况及其影响因素 ,应用 Achenbach′s儿童行为量表 ,测查了西安市 86 2名小学生。结果显示小学生行为问题检出率为 14.7%。多因素分析表明 ,影响小学生行为发育的因素主要有父母婚姻状况不佳、父亲健康状况差、不良的教育方式及不适当的期望等。提示小学生中存在的行为问题较为严重 ,在儿保及学校卫生工作中应重视加强精神卫生保健。     

An easy procedure to determine Magic Formula parameters: a comparative study between the starting value optimization technique and the IMMa optimization algorithm

In 2004, a new searching algorithm for Magic Formula tyre model parameters was presented. Now, a summary of the results, for pure and combined slip, that this algorithm is able to achieve is presented. The Magic Formula tyre model needs a set of parameters to describe the tyre properties. The determination of these parameters is dealt with in this article. A new method, called IMMa Optimization Algorithm (IOA), based on genetic techniques, is used to determine these parameters. Here, we show the computational cost that has been used to obtain the optimum parameters of every characteristic of the Magic Formula tyre model, called Delft Tyre 96. The main advantages of the method are its simplicity of implementation and its fast convergence to optimal solution, with no need of deep knowledge of the searching space. Hence, to start the search, it is not necessary to know a set of starting values of the Magic Formula parameters (null sensitivity to starting values). The search can be started with a randomly generated set of parameters between [0, 1]. Nowadays, MF-Tool, an application developed by TNO, uses an optimization technique to fit Magic Formula parameters from Matlab toolbox [van Oosten, J.J.M. and Bakker, E., 1993, {Determination of magic tyre model parameters}. Vehicle System Dynamics, 21, 19–29; van Oosten, J.J.M., Savi, C., Augustin, M., Bouhet, O., Sommer, J. and Colinot, J.P., 1999, {Time, tire, measurements, forces and moments, a new standard for steady state cornering tyre testing}. EAEC Conference, Barcelona, 30 June–2 July.]. We refer to that algorithm as the starting value optimization technique. The comparison between the optimization technique employed by TNO and the proposed IOA method is discussed in this article. In order to give a relative idea of adjustment accuracy, the sum-squared error and the mean-squared error, from the curves of the tyre model with the parameters optimized by both applications compared with test data are evaluated.     

Ant Colony Routing algorithm for freeway networks

Dynamic traffic routing refers to the process of (re)directing vehicles at junctions in a traffic network according to the evolving traffic conditions. The traffic management center can determine desired routes for drivers in order to optimize the performance of the traffic network by dynamic traffic routing. However, a traffic network may have thousands of links and nodes, resulting in a large-scale and computationally complex non-linear, non-convex optimization problem. To solve this problem, Ant Colony Optimization (ACO) is chosen as the optimization method in this paper because of its powerful optimization heuristic for combinatorial optimization problems. ACO is implemented online to determine the control signal – i.e., the splitting rates at each node. However, using standard ACO for traffic routing is characterized by four main disadvantages: 1. traffic flows for different origins and destinations cannot be distinguished; 2. all ants may converge to one route, causing congestion; 3. constraints cannot be taken into account; and 4. neither can dynamic link costs. These problems are addressed by adopting a novel ACO algorithm with stench pheromone and with colored ants, called Ant Colony Routing (ACR). Using the stench pheromone, the ACR algorithm can distribute the vehicles over the traffic network with less or no traffic congestion, as well as reduce the number of vehicles near some sensitive zones, such as hospitals and schools. With colored ants, the traffic flows for multiple origins and destinations can be represented. The proposed approach is also implemented in a simulation-based case study in the Walcheren area, the Netherlands, illustrating the effectiveness of the approach.     

外海超长桩基础施工关键技术研究

港珠澳大桥江海直达船航道桥深水桩基础地质环境复杂,施工难度大,在施工过程中困难重重。通过提前预判分析施工过程的重难点,结合相关施工技术要求,编制了关键技术要点,同时处理了施工过程中遇到的技术难题,在桩基实施过程中取得了良好效果,确保了桩基础工程施工顺利完成。在深海水域的桩基础施工类型中,对相关技术进行了创新,在实施过程中得到了成功的应用。     

移动电站维修常见技术问题分析

通过对移动电站维修中存在的技术问题深入分析,指出了问题的成因、导致的后果,并逐一提出了解决问题的方法和避免问题的注意事项等。     

论新形势下大型国有施工企业的安全管理

近年来,中国的经济增长和结构调整,及加速城市化进程等方面的需求,极大地增加了对于基础设施服务的市场需求和投资需求,国家基建投资大幅上扬,建筑企业的安全生产管理工作压力突显。该文结合当前建设市场形势下建筑施工企业尤其是国有施工企业中出现的安全管理问题,提出了一些对策性研究,以便和同行交流。     

基于遗传算法的重载与非重载去向开行方案比较研究

本文道德简要介绍重载运输在我国开行的现状，在此基础上建立一个重载列车去向模型。引进一个先进的算法－遗传算法求解模型，根据求得最终优化方案，比较普通直达列车和重载列车开行方案的不同，计算结果表明重载列车的开行应该重新调整现有编组计划，而不是仅仅加大原有开行方向上的编成辆数以实现重载。     

公路建设项目水土保持工作存在的问题探讨

公路建设项目水土保持工作正逐步走向正轨，但在具体的贯彻落实中还存在认识不到位，设计不合理，执行不彻底等问题，影响了水土流失的防治，应当引起相关部门足够的重视并采取措施加以解决。     

铁路罐式集装箱空箱调配优化模型及遗传模拟退火算法

针对罐式集装箱运输的特殊性,考虑重箱流和空箱流调配的综合优化,以罐箱运输费用最小为目标,建立铁路罐式集装箱空箱调配优化多商品网络流模型,并构造了1种嵌入模拟退火操作的遗传算法对之进行求解。为了使模型与算法可得到更符合实际、操作性更强的结果,给出了3种空罐箱调配的策略,作为隐含条件加入到算法求解过程中。利用自适应遗传模拟退火算法对随机生成的实际规模问题算例进行求解,并与用通用代数建模系统软件GAMS的计算结果进行对比。结果表明,前者得出的结果与最优解差距不大,而且运算速度更快,更能满足解决实际问题的需要,为铁路罐箱调配优化提供了良好的决策支持模型和算法。