路由技术中的线性规划法

路由器工作在网络层,依靠转发网络层数据包来实现网络互联,路由器工作的目的就是选择最佳路径,把数据传递到目的地．而以前路由器工作中的链路状态路由算法用的是Dijkstra算法来选择传播信息的最佳路径,现在运用图论中的线性规划法来解决源路由器到所有目的路由器传播信息的最佳路径问题。     

基于双层规划的危险品运输网络设计

分析危险品运输网络设计的一般过程及其双重约束特征,在此基础上兼顾政府与运输商双方不同的利益目标,建立一个双层规划模型,借用库恩-塔克条件提出该模型的一个简单解法,并利用算例进行分析.     

Predicting crest settlement in concrete face rockfill dams using adaptive neuro-fuzzy inference system and gene expression programming intelligent methods

This paper deals with the estimation of crest settlement in a concrete face rockfill dam （CFRD）, utilizing intelligent methods. Following completion of dam construction, considerable movements of the crest and the body of the dam can develop during the first impoundment of the reservoir. Although there is vast experience worldwide in CFRD design and construction, few accurate experimental relationships are available to predict the settlement in CFRD. The goal is to advance the development of intelligent methods to estimate the subsidence of dams at the design stage. Due to dam zonifieation and uncertainties in material properties, these methods appear to be the appropriate choice. In this study, the crest settlement behavior of CFRDs is analyzed based on compiled data of 24 CFRDs constructed during recent years around the world, along with the utilization of gene ex- pression programming （GEP） and adaptive neuro-fuzzy inference system （ANFIS） methods. In addition, dam height （H）, shape factor （St）, and time （t, time after first operation） are also assessed, being considered major factors in predicting the settlement behavior. From the relationships proposed, the values ofR2 for both equations of GEP （with and without constant） were 0.9603 and 0.9734, and for the three approaches of ANFIS （grid partitioning （GP）, subtractive clustering method （SCM）, and fuzzy c-means clustering （FCM）） were 0.9693, 0.8657, and 0.8848, respectively. The obtained results indicate that the overall behavior evaluated by this approach is consistent with the measured data of other CFRDs.     

推动实验课程教学改革培养学生创新能力

以程序设计类实验课程教学为依托,分析针对大学生创新能力培养开展的实验课程改革,推动计算机语言类实验课程建设,提高学生自身素质,增强就业竞争力。     

2000年中国电视新格局

20 0 0年的中国电视屏幕是一个竞争的舞台。在这个舞台上 ,以区域、级别划分的电视格局正在解体 ,新的电视制作力量正在兴起。制播分离大背景下的民间电视制作力量兴起 ,省级地方台开始探索特色经营与集团合作之路 ,中央电视台以频道专业化与节目大众化加快了自身调整 ,海外电视也参与了电视市场的竞争。中国电视的 2 0 0 0年结束在多元格局的整合里     

运筹学实验软件在线性规划问题教学中的应用

文章通过实例验证利用运筹学实验软件教学比传统的教学法更有优势,能使教师上课时让学生直观地看到线性规划问题的求解过程,使学生能形象、熟练地掌握运筹学计算方法,在实际教学中有指导意义．     

Expert group formation using facility location analysis

In this paper, we propose an optimization framework to retrieve an optimal group of experts to perform a multi-aspect task. While a diverse set of skills are needed to perform a multi-aspect task, the group of assigned experts should be able to collectively cover all these required skills. We consider three types of multi-aspect expert group formation problems and propose a unified framework to solve these problems accurately and efficiently. The first problem is concerned with finding the top k experts for a given task, while the required skills of the task are implicitly described. In the second problem, the required skills of the tasks are explicitly described using some keywords but each expert has a limited capacity to perform these tasks and therefore should be assigned to a limited number of them. Finally, the third problem is the combination of the first and the second problems. Our proposed optimization framework is based on the Facility Location Analysis which is a well known branch of the Operation Research. In our experiments, we compare the accuracy and efficiency of the proposed framework with the state-of-the-art approaches for the group formation problems. The experiment results show the effectiveness of our proposed methods in comparison with state-of-the-art approaches.     

LP问题的高阶收敛算法

利用凝聚函数对线性规划问题的等价形式进行带参数的磨光，并对参数方程的解曲线进行离散化追踪，在适当的条件下，证明了算法具有任意阶收敛性。     

考虑碳排放成本的长江铁矿石运输研究

为降低钢铁企业采购和运输铁矿石的综合成本,考虑船型、航速和碳排放等因素,建立长江铁矿石运输的混合整数非线性规划模型。将模型中的非线性项转化为线性项,运用CPLEX求解器求解。针对CPLEX求解中大型规模算例的局限性,引入标准粒子群优化（particle swarm optimization, PSO）算法提高求解精度。针对标准PSO算法容易陷入局部最优的问题,提出一种基于自适应策略的改进PSO算法,动态调整惯性权重,提高算法的收敛性和全局寻优能力。通过数值实验发现,改进后的算法在全局寻优能力和收敛能力上有一定的提高。     

基于Python与MATLAB混合编程的文本分类应用案例设计

案例教学是重要的教学方法。利用朴素贝叶斯分类算法,以单词出现频率作为特征对文本进行分类。定义MATLAB函数以实现朴素贝叶斯分类器训练与文本分类功能,然后在Python程序中通过MATLAB引擎调用MATLAB函数。与Python调用NumPy第三方库的实现方法进行对比,发现使用混合编程实现文本分类器的错误率为4.5%,比单独使用Python实现的错误率降低了1.5%,但混合编程的程序执行效率不如单独使用Python的方法。将该文本分类应用案例用于Python或MATLAB课程教学,可更好地引导学生选择恰当的实现方法,培养学生的计算机应用能力。