Schedule design for liner services under vessel speed reduction incentive programs

Gas and particulate emissions from ship transportation have been increasing in recent years. In order to mitigate ship emissions near coastal areas, voluntary vessel speed reduction incentive programs (VSRIPs) were put in place by a number of ports. This paper studies a schedule design problem faced by liner shipping companies under VSRIPs. It proposes a mixed-integer nonlinear mathematical model for the minimization of the total cost, consisting of fuel cost, as well as operating cost, minus dockage refunds. The model balances three determinants, that is, the compliance of VSRIPs, the speed limit (the maximum physical speed of ships and the upper speed limit imposed by VSRIPs), and the limited number of ships. An enumerative algorithm and a piecewise-linear approximation algorithm are developed, based on some properties of the nonlinear model. The efficiency of the proposed algorithms is validated through extensive computational experiments.     

Expansion planning for waste‐to‐energy systems using waste forecast prediction sets

We consider an expansion planning problem for Waste‐to‐Energy (WtE) systems facing uncertainty in future waste supplies. The WtE expansion plans are regarded as strategic, long term decisions, while the waste distribution and treatment are medium to short term operational decisions which can adapt to the actual waste collected. We propose a prediction set uncertainty model which integrates a set of waste generation forecasts and is constructed based on user‐specified levels of forecasting errors. Next, we use the prediction sets for WtE expansion scenario analysis. More specifically, for a given WtE expansion plan, the guaranteed net present value (NPV) is evaluated by computing an extreme value forecast trajectory of future waste generation from the prediction set that minimizes the maximum NPV of the WtE project. This problem is essentially a multiple stage min‐max dynamic optimization problem. By exploiting the structure of the WtE problem, we show this is equivalent to a simpler min‐max optimization problem, which can be further transformed into a single mixed‐integer linear program. Furthermore, we extend the model to optimize the guaranteed NPV by searching over the set of all feasible expansion scenarios, and show that this can be solved by an exact cutting plane approach. We also propose a heuristic based on a constant proportion distribution rule for the WtE expansion optimization model, which reduces the problem into a moderate size mixed‐integer program. Finally, our computational studies demonstrate that our proposed expansion model solutions are very stable and competitive in performance compared to scenario tree approaches. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 47–70, 2016     

电子防空协同下多层火力拦截巡航导弹能力研究

从电子防空和火力拦截两个方面分析了抗袭巡航导弹的基本对策,采用排队论方法构建了"软硬杀伤拦截"的效能模型,并计算出固定部署防空体系的拦截效率。结合算例证明了模型的实用性,通过对比得出在有电子防空协同下拦截巡航导弹时的可行性与优势。     

基于改进烟花算法的ELM分类模型

针对极限学习机(Extreme Learning Machine,ELM)的性能必须依赖于大量隐层节点的问题,提出了基于改进烟花算法(Improved Fireworks Algorithm,IFWA)的ELM分类模型。用改进的烟花算法进行迭代搜索,求得N个最优的烟花;选择ELM测试数据集的RMSE作为改进烟花算法的适应度值函数,来优化ELM每个隐层节点的输入权值和偏置,使得节点的决策水平提高,从而使ELM的决策性能显著提高;采用KDD99数据集验证表明:改进烟花算法的极限学习机(IFWAELM)能够以较少的隐层节点得到更高的测试平均正确率,提高了极限学习机的泛化性能。5种同类算法性能对比实验也表明IFWAELM是效果最优的。     

从双语教育的内涵和外延审视南疆双语教育的困境及走向

厘清第一语言和第二语言学习的先后关系和深度认识浸没型双语教育是解析双语教育内涵的两个基础维度.发展双语教育不论是从理论上还是实践上都将会不可避免地涉及到社会文化、政治和经济方面的问题.从双语教育所立足的社会条件探讨双语教育的外延,认为南疆现代文明的启蒙进程决定着教育的效力,同时教育也极大地促进着现代文化的启蒙.在此基础上审视南疆双语教育困境的成因,提出发展南疆双语教育的宏观导向性建议.     

改进的时域正交MOE盲干扰抑制算法

提出了一种能够同时抑制窄带和多址干扰的TDO-MOE盲干扰抑制算法,算法将TDO-LMS算法引入到MOE盲检测算法,克服了TDO算法在盲检测中容易发散的缺点.通过信道估计调整步长因子,信道估计运算利用了检测器的中间运算结果,没有付出多余运算量.仿真结果表明,在维持LMS类算法的SINR性能的前提下,算法明显缩短了收敛时间,具有一定的应用价值.     

《连续系统建模》的计算机辅助学习与考核系统

本文介绍了一个用于《连续系统建模》学习与考核的计算机辅助教学课件的功能和设计原理,重点介绍了系统动力学模型图的知识表达和建模行为的有效性度量的方法。     

浅谈我国宪法监督制度的完善

宪法是我国的根本大法,对国家政治、经济、社会生活有着重要权威性。宪法监督是依宪治国的关键。我国现有宪法监督制度有着明显的缺陷,中国应当既立足本国实际,又顺应世界宪政发展的基本潮流,完善宪法监督制度,充分发挥宪法作为根本大法的作用。在分析了我国宪法监督体制弊端的基础之上,对我国宪法监督体制的完善提出了一些建议。     

一种基于新技术复杂装备的可靠性增长方法

针对新技术复杂装备可靠性增长难的问题,利用可靠性增长理论,结合新技术复杂装备的特点,提出了一种适应于新技术复杂装备可靠性增长的方法。并将其应用于某型无人机系统的可靠性增长,通过2个生产周期达到了预期的可靠性增长目标值。这种方法具有良好的可操作性和经济性,可广泛应用于其他新技术复杂装备的可靠性增长中。     

内存泄漏的一种静态分析方法

内存泄漏是C程序中常见的错误.从面向具体错误类型的测试思想出发,结合静态测试的特点,给出了一种静态查找此类错误的方法.此方法已经实现,并将应用于实际的测试过程.