利用MATLAB对变桨轴承的可靠性进行优化分析

为提高风力发电机变桨轴承的可靠性,利用MATLAB软件,从额定载荷的优化着手,通过使用非线性有约束的多元函数fmincon对其进行编程,根据研究方程式计算的数据,找到现有设计参数的不足之处,然后加以改进,使轴承在运行的过程中可靠性得到提高。     

中国软件业需要大师级人物

“精通VB、DELPHI、 VC++、JAVA语言编程,熟悉Windows和Unix／Linux操作系统以及TCP／IP协议,熟悉Windows 和Linux系统编程和网络编程”以及“精通．net编程,五年以上的．net下软件开发工作经验”这样的招聘广告在软件行业并不鲜见。     

高速列车设备维修决策支持系统的研究和实现

建立以可靠性为中心的高速列车设备维修决策过程,并对维修决策过程中所涉及的问题给出设备重要度评价、建立设备寿命分布模型、综合状态评价和预测、维修间隔时间以及检测间隔时间的确定等关键问题给出定量分析方法。通过VC++和Matlab相结合的编程方式实现,开发高速列车设备维修决策系统。系统的合理使用对全面优化高速列车设备的维修方案具有重要意义。     

面像识别技术控制系统设计

面像识别技术应用系统中往往需要控制系统,介绍了一种PC机和51单片机串行通信方式来进行控制的方法。PC端采用VC++编程,用MSComm控件进行串口通信,通过RS-232进行PC机和51单片机的连接;单片机端采用汇编语言进行编程,通过对接收信号的判断来控制外部动作。本控制子系统设计方法已经在面像识别门禁系统中得到实现。     

小件电子产品回收物流网络模型与实证研究——以废弃手机为例

每年我国都产生大量的小件电子废弃物,小件电子废弃物的资源化回收利用成为一个新的环境问题.本文以废弃手机为例,首先做了一个废弃手机回收的物流网络设计,然后建立了废弃手机回收的物流模型,最后通过利用VC++6.0软件编程求解对广西地区的废弃手机回收问题进行了实证分析,根据软件的求解结果,提出了一个以废弃手机为例的电子废弃物回收物流设计的战略网络模型.     

用动态链接库实现并行端口数据采集的方法

探讨了Windows系统下并行端口程序设计的方法,用VC++构造了并行端口操作的DLL,介绍了在VB,VC++环境下该动态DLL的调用方法,并给出了在VB下对DLL进行调用的程序实例。     

C++指针的分析与使用技巧

通过对 C++指针特点的分析 ,结合自己的编程经验 ,介绍了 C++使用方法与技巧     

基于谐波分次补偿控制的混合滤波系统设计

在总结目前配电网中无源电力滤波器和有源电力滤波器两种谐波补偿装置的基础上,提出一种有源与无源并联运行的混合滤波系统,采用谐波分次补偿控制策略对有源与无源协调运行进行控制。最后,基于电力系统电磁暂态仿真软件PSCAD,对混合滤波装置进行仿真研究,仿真结果表明通过谐波分次补偿控制保证了有源与无源的协调运行,降低了有源部分的容量,并具有良好的谐波补偿效果。     

伪特性系统及伤真

本文探索了一种改善非线性控制系统品质的方法,并给出了在 DJM310Ⅲ—IBMPC/XT 混合计算系统上所作实时仿真的结果。     

MATLAB在纺织专业教学中的应用

<正>MATLAB是国际最为流行的科学与工程计算软件之一,以其模块化的计算方法,可视化与智能化的交互功能,丰富的矩阵运算,图形绘制和数据处理函数,以及模块化图形组态软件仿真工具Simulink成为控制系统设计与仿真领域最受欢迎的软件系统。通过调用MATLAB提供的函数和其附带的模块工具进行分析和计算,不但可以准确地画出图形,计算出相应的性能指标,大大提高工作效率,而且有效地调动了学生的积极性,同时还可以开设相当数目的仿真实验,以加深对理论的理解与接受。     

On the existence of franchise contracts and some of their implications

We characterize the franchising problem as a contractual agreement between a principal and multiple agents. The contract contains a revenue-sharing rule, the level of national expenditures by the franchisor and the number of units to be enfranchised. The franchisor offers the contract to a group of potential agents whose attitudes toward risk and effort differ. The revenue of a franchise unit is determined by decisions of both parties as well as a random perturbation. Under certain conditions, we establish the existence and uniqueness of an expected utility maximizing franchise contract with the property that the royalty payment to the franchisor never exceeds one-half the revenue. We provide an explanation for the use of a common contract and argue that, in reality, it is non-linear. We show that this common, non-linear contract attracts agents deemed desirable by the franchisor.     

The market-oriented dynamic product recovery model in the just-in-time framework

A market-oriented deterministic dynamic product recovery problem and its multi-echelon model formulation are discussed in this paper. For this general non-linear alternate deterministic dynamic product recovery model a dynamic programming solution procedure is developed. Furthermore, the subcases of the Just-in-time situation with regard to the suppliers as well as customers are considered, for which the two-stage problem is transformed to easily solvable one-stage models. It will be seen that the regarded recovery problem in this formulation is just a special multi-echelon problem with two alternative production options.     

Stochastic single-source capacitated facility location model with service level requirements

A stochastic version of single-source capacitated facility location problem is considered. A set of capacitated facilities is to be selected to provide service to demand points with stochastic demand at the minimal total cost. The facilities have service level requirements modeled by chance constraints. For Poisson demand, the problem is proved equivalent to a known solvable deterministic problem. For Normally distributed demand, it is equivalent to a deterministic mixed integer non-linear programming problem. A hybrid heuristic of Lagrangean relaxation with a single-customer-multi-exchange heuristic is embedded within a branch-and-bound framework to find upper and lower bounds for this problem. From test instances created from benchmark problems (10–20 facilities and 50 demand nodes) and real-life data on the deterministic problem, the gap between the bounds is within 6.5% with an average of 2.5%.     

Evaluation of import substitution strategy in Indian telecom sector: Empirical evidence of non-linear dynamics

The Indian telecom sector, post-liberalization, is characterized by the heavy dependence on the imports of telecom products, even though several policy initiatives have been taken by the government during the last three decades to reduce import dependence. This study investigates to what extent the policy measures adopted after 2012 have impacted the import, Foreign Direct Investment (FDI), and domestic manufacturing performance in the telecom sector. A series of non-linear time series techniques are employed to capture the complex dynamics among these variables. The outcomes of the study suggest that the import, FDI, and Index of Industrial Production (IIP) in the telecom sector share non-linear relationships that exhibit regime shifts, time-varying behavior, and asymmetry. The study highlights that the FDI drives the import and, in normal circumstances, FDI and imports have the potential to influence IIP in the telecom sector in the long-run. The findings indicate that the policy measures adopted by the government are justifiable as the import substitution strategies have the potential to get transmitted to the telecom sector in the future. Based on the empirical findings, the study proposes a set of policy measures, which should help the sector to grow intrinsically while lowering the import dependence.     

All-Unit Discounts and the Problem of Surplus Division

All-unit discounts (AUD) are non-linear pricing schemes whereby buyers who reach a specific quantity threshold get rebates also retroactively for all units bought before. This sets high incentives for buyers to meet the quantity threshold, and may also have foreclosure effects on potential entrants. In a model where an incumbent faces second-period competition by entrants, we show that AUD can indeed be abused to shift rents from entrants. In contrast to exclusive dealing which is usually seen as very similar to AUD, inefficient quantity distortions may arise even with perfect information if and only if there is sufficiently intense competition among potential entrants.     

Optimal reciprocal access pricing and collusion

This work extends the network competition model of Armstrong [(1998). Network interconnection in telecommunications. Economic Journal, 108, 545–564] and Laffont, Rey, and Tirole (1998). Network competition: I. Overview and nondiscriminatory pricing. RAND Journal of Economics, 29, 1–37] by assuming that operators can maintain a certain level of collusion in the unregulated retail market, and access prices may be regulated through non-linear tariffs. It emerges that, in the case of partially collusive environments, the regulator can design cost-based non-linear access charges such that the result is socially optimal.     

THE MAPI URGENCY RATING

There is substantial agreement in the capital budgeting literature that the presence of project interactions has to be recognized in evaluating capital projects. Most existing approaches require the explicit assessment of such interactions, which is an extremely difficult task. This paper proposes an alternative framework to overcome this difficulty. The suggested framework utilizes the accounting relationships inherent in the Impact of the projects to evaluate complex interactions. The framework is first presented in terms of a heuristic selection rule and subsequently formulated as a non-linear zero-one programming problem.     

创新模式演进过程的研究综述与展望

当前,以推动大众创业、万众创新为根本目标的创新驱动发展战略是我国经济步入新常态实现转型发展的重大战略举措,对创新模式的系统梳理与深度剖析具有重要理论价值与现实意义。自熊比特提出创新问题之后,学者们对创新模式的研究经历了单向线性创新模式到互动创新模式再到现代非线性创新模式,创新模式的演化过程体现了复杂性、非线性的趋势,这对创新活动的组织形式提出新的要求,探究创新模式的演进过程,对于推动创新创业活动的有效开展、深入贯彻落实创新驱动发展战略具有重要参考价值。     

Inventory control in a two-level supply chain with risk pooling effect

We consider an inventory control problem in a supply chain consisting of a single supplier, with a central distribution center (CDC) and multiple regional warehouses, and multiple retailers. We focus on the problem of selecting warehouses to be used among a set of candidate warehouses, assigning each retailer to one of the selected warehouses and determining replenishment plans for the warehouses and the retailers. For the problem with the objective of minimizing the sum of warehouse operation costs, inventory holding costs at the warehouses and the retailers, and transportation costs from the CDC to warehouses as well as from warehouses to retailers, we present a non-linear mixed integer programming model and develop a heuristic algorithm based on Lagrangian relaxation and subgradient optimization methods. A series of computational experiments on randomly generated test problems shows that the heuristic algorithm gives relatively good solutions in a reasonable computation time.     

GAN-MP hybrid heuristic algorithm for non-convex portfolio optimization problem

Abstract

During recent decades, the traditional Markowitz model has been extended for asset cardinality, active share, and tracking-error constraints, which were introduced to overcome the drawbacks of the original Markowitz model. The resulting optimization problems, however, are often very difficult to solve, whereas those of the original Markowitz model are easily solvable. In order to resolve the portfolio optimization problem for the new extensions, we developed a novel heuristic algorithm that combines GAN (Generative Adversarial Networks) with mathematical programming: the GAN-MP hybrid heuristic algorithm. To the best of our knowledge, this is the first attempt to bridge neural networks (NN) and mathematical programming to tackle a real-world portfolio optimization problem. Computational experiments with real-life stock data show that our algorithm significantly outperforms the existing non-linear optimization solvers.