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2011 Fourth International Joint Conference on Computational Sciences and Optimization最新文献

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Inverse Linear Program by Modifying the Right-Hand Side Vector under l1 Norm 在l1范数下修改右侧向量的逆线性规划
Liping Liu, Xiucui Guan
Inverse linear programming problem (ILPb) by modifying the right-hand vector is discussed in the paper. A mathematical model of (ILPb), which is an MPEC problem, is constructed based on duality theories, and then a necessary and sufficient condition of checking the feasibility of (ILPb) is provided. The inverse problem under $l_1$ norm is transformed into a problem under weighted sum-type Hamming distance with linear equality and inequality constraints. An optimal solution in the special case is also given when the dual constraint conditions are all equalities and the coefficient matrix is invertible. In this case, the system of linear equations has the only solution.
本文讨论了修正右向量的逆线性规划问题。基于对偶理论,建立了MPEC问题的数学模型,并给出了检验ILPb可行性的充分必要条件。将$l_1$范数下的逆问题转化为具有线性等式和不等式约束的加权和型Hamming距离问题。给出了对偶约束条件均为等式且系数矩阵可逆的特殊情况下的最优解。在这种情况下,线性方程组只有一个解。
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引用次数: 0
Design of a Flexible, Extensible and Reusable Supply Chain Simulation System 一个灵活、可扩展和可重用的供应链仿真系统的设计
Wenzhe Tan, Y. Chai, Yi Liu
In order to handle the hypercompetitive and volatile market, an innovative design framework is presented in this paper to make the simulation system flexible, extensible and reusable. The simulation model is divided into three sub-models: the core model defines the basic structure of the simulation scenario, the data model maintains the detailed information of the simulation model, and the runtime model manages work flows and object life-cycles during simulation. Then the three sub-models are linked through a creative "composite", which is a special component describing the relationships between the sub-models. Neutral interfaces are provided to make outer tools in using transparent to the simulation system. Empirical results show that the implemented simulation system can model and analyze various supply chains and users can extend the existing simulation components easily. The research in the paper can cope with the increasing demand of supply chain simulation, and thus enable more economic and efficient quantitative analysis on supply chain.
为了应对激烈竞争和多变的市场,本文提出了一种创新的设计框架,使仿真系统具有灵活性、可扩展性和可重用性。仿真模型分为三个子模型:核心模型定义仿真场景的基本结构,数据模型维护仿真模型的详细信息,运行时模型管理仿真过程中的工作流和对象生命周期。然后,这三个子模型通过一个创造性的“组合”连接起来,这是一个描述子模型之间关系的特殊组件。提供中性接口,使外部工具在使用时对仿真系统透明。实证结果表明,所实现的仿真系统可以对各种供应链进行建模和分析,用户可以方便地扩展现有的仿真组件。本文的研究能够满足日益增长的供应链仿真需求,从而使供应链的定量分析更加经济高效。
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引用次数: 2
Heuristic Algorithm for K-disjoint QoS Routing Problem k -不相交QoS路由问题的启发式算法
Zhanke Yu, Mingfang Ni, Zeyan Wang, Huajun Huang
K-disjoint QoS Routing emphasizes to find k disjoint paths from source to destination satisfying the QoS requirements. It is well-known that this problem is NP-Complete. In this paper, we formulate the k-disjoint QoS routing problem as binary integer linear program (BILP) and propose a new heuristic algorithm based on integer linear programming and penalty function. Preliminary numerical results show that the proposed algorithm is viable.
k -不相交QoS路由强调寻找k条从源到目的满足QoS要求的不相交路径。众所周知,这个问题是np完全的。本文将k-不相交QoS路由问题表述为二进制整数线性规划(BILP),提出了一种基于整数线性规划和罚函数的启发式算法。初步数值结果表明,该算法是可行的。
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引用次数: 3
OWS2GRID: A Prototype and Building System of WSRF-Enabled OGC Web Service OWS2GRID:支持wsrf的OGC Web服务的原型和构建系统
Yuke Zhou, Chenghu Zhou, Rongguo Chen, Yingdong Chen
In this paper, key methods and prototype that integrate OGC Web Service (OWS) into grid environment is analysed and we describe a resource-oriented architectural approach. The concrete is a progress in which a model extracting stateful resource under WSRF (Web Service Resource Framework) is provided. This paper presents OWS2GRID, a framework that extends the Introduce Toolkit [1] for supporting OGC web service on Grid environments. The OWS2GRID framework adopts the WSRF specification for creating grid service resource and publishing them to distributed grid nodes. The OWS2GRID user interface is a modified template factory that converts stateless OGC WS to stateful wsrf-enabled service. The paper describes the design and the implementation of OWS2GRID using a release of the WSRF library. To evaluate the efficiency of the proposed system, a result of wrapped OWS in Globus indicate better performance and collaborative than standard OWS through a visual component in OWS2GRID.
本文分析了将OGC Web Service (OWS)集成到网格环境中的关键方法和原型,并描述了一种面向资源的体系结构方法。具体是在WSRF (Web Service resource Framework)下提供一个提取有状态资源的模型的过程。本文介绍了OWS2GRID,这是一个扩展了介绍工具包[1]的框架,用于在网格环境中支持OGC web服务。OWS2GRID框架采用WSRF规范来创建网格服务资源并将其发布到分布式网格节点。OWS2GRID用户界面是一个经过修改的模板工厂,它将无状态OGC WS转换为支持有状态wsrf的服务。本文描述了使用WSRF库的一个版本的OWS2GRID的设计和实现。为了评估所提出系统的效率,在Globus中封装OWS的结果表明,通过OWS2GRID中的可视化组件封装的OWS比标准OWS具有更好的性能和协作性。
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引用次数: 0
An Intelligent Computing Prediction Model for Satellite Images 卫星图像的智能计算预测模型
Long Jin, Ying Huang, Ru He
Using Empirical Orthogonal Function (EOF) method, the time coefficients were extracted from the samples of infrared satellite images every 3-h in heavy rainfall processes as predictands for images prediction modeling. Based on the technique of the reduction of data dimensionality, genetic neural network ensemble prediction (GNNEP) models have been developed for the associated predictands using predictors from physical quantities prediction products of numerical prediction model. The future satellite images were obtained by integrating the predicted time coefficients with the corresponding space vectors. Results show that the nonlinear prediction model can better forecast the main features of the development of cloud cluster with heavy rainfall in future 20-h.
利用经验正交函数(EOF)方法,从暴雨过程中每3 h的红外卫星图像样本中提取时间系数,作为图像预测模型的预测指标。基于数据降维技术,利用数值预测模型的物理量预测产物中的预测因子,建立了相关预测因子的遗传神经网络集成预测模型。将预测的时间系数与相应的空间矢量进行积分,得到未来的卫星图像。结果表明,非线性预测模型能较好地预测未来20 h强降雨云团发展的主要特征。
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引用次数: 0
Parallel Reducts and Decision System Decomposition 并行约简与决策系统分解
Dayong Deng, Dianxun Yan, Jiyi Wang, Lin Chen
In this paper, we continue to investigate the properties of parallel reducts. We reveal the drawbacks in the method of decomposing a decision system into a family of decision sub-tables for dynamic reducts, and present a novel method of decomposing a decision system into a series of decision sub-tables for parallel reducts, which also can be applied to dynamic reducts. We prove in theory that the method is effective. Moreover, the method provides a way of calculating the reducts of an inconsistent decision from a family of consistent decision sub-tables, and vice versa.
在本文中,我们继续研究平行约化的性质。本文揭示了将决策系统分解为一系列决策子表的动态约简方法的缺陷,提出了一种将决策系统分解为一系列并行约简决策子表的新方法,该方法同样适用于动态约简。我们从理论上证明了这种方法是有效的。此外,该方法提供了一种从一组一致决策子表中计算不一致决策的约简的方法,反之亦然。
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引用次数: 2
A Modified Sequence Quadratic Programming Method for Nonlinear Programming 非线性规划的改进序列二次规划方法
Zhijun Luo, Guohua Chen, Lirong Wang
Sequence quadratic programming method is one of the most useful methods for solving constrained optimization problem. In this paper, a new modified SQP method is proposed to solve the nonlinear programming. This algorithm starts from an arbitrary initial point and adjusts penalty parameter automatically. A descent direction is obtained by solving only one variant constrained sub problem. In order to avoid Marotos effect, a high-order revised direction is obtained by solving a line system. Furthermore, under mild conditions, the global and local super linear convergence properties are obtained.
序列二次规划法是求解约束优化问题最有用的方法之一。本文提出了一种新的改进SQP方法来求解非线性规划问题。该算法从任意初始点出发,自动调整惩罚参数。仅通过求解一个变量约束子问题得到下降方向。为了避免马罗托斯效应,通过求解直线系统得到一个高阶修正方向。在较温和的条件下,得到了该算法的全局和局部超线性收敛性。
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引用次数: 3
Product Review Information Extraction Based on Adjective Opinion Words 基于形容词意见词的产品评论信息提取
Yanyan Luo, Wei Huang
Product review mining can provide effective help for manufacturers, retailers and potential customers. We propose a framework of product review information extraction based on adjective opinion words. Firstly, we extract the web page information with web page template features. Secondly, we manually label seed adjective opinion word set, and expanded it to a set with words coverage reaching 90%. We also identify comparative sentence, word match and negation patterns. Finally, we summarize the product reviews from the various perspectives. In order to demonstrate our methods of the framework, we conduct the experiment with the product reviews of digital camera from www. Epinions.com. The experiment shows that the methods can provide the number of emotion polarity for the products and features.
产品评论挖掘可以为制造商、零售商和潜在客户提供有效的帮助。提出了一种基于形容词意见词的产品评论信息提取框架。首先,利用网页模板特征提取网页信息;其次,我们手动标注种子形容词意见词集,并将其扩展为词覆盖率达到90%的词集;我们还识别比较句,单词匹配和否定模式。最后,我们从各个角度对产品评论进行了总结。为了演示我们的框架方法,我们以www上的数码相机产品评论为例进行了实验。Epinions.com。实验表明,该方法可以为产品和特征提供情感极性的数量。
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引用次数: 15
Financial Forecasting: Comparative Performance of Volatility Models in Chinese Stock Markets 财务预测:波动性模型在中国股票市场的比较表现
Jingfeng Xu, Jian Liu, Haijian Zhao
This paper presents empirical tests and comparisons of GARCH family models and nonparametric models for predicting the volatility of Chinese stock markets. Since the volatility of financial asset returns often exhibits asymmetry, fat-tails and long-range memory property in the stock market, nonparametric models maybe have better performance. By the criteria of mean absolute forecast error (MAE), mean squared error (RMSE) and the hit rate (HR), empirical results show that support vector machine (SVM), a new nonparametric tool for regression estimation, outperforms GARCH family models (GARCH, EGARCH, FIGARCH), moving average and neural network in improving predictive accuracy.
本文对GARCH族模型和非参数模型在预测中国股市波动率方面进行了实证检验和比较。由于金融资产收益的波动性在股票市场中往往表现出不对称性、肥尾性和长期记忆性,因此非参数模型可能具有更好的表现。以平均绝对预测误差(MAE)、均方误差(RMSE)和准确率(HR)为标准,实证结果表明,支持向量机(SVM)作为一种新的非参数回归估计工具,在提高预测精度方面优于GARCH家族模型(GARCH、EGARCH、FIGARCH)、移动平均和神经网络。
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引用次数: 2
Risk Analysis in the Process of Real Estate Enterprise Project Investment 房地产企业项目投资过程中的风险分析
Xiao-su Ye
Real estate investment is a risky business. There are numerous risk factors exist in the investment process, and most of them are varied and changeable, such as the change of market supply and demand, policy adjustment, and the change of interest rate, all these factors impose direct influence on the success of the investment. The risk management standards of real estate enterprises in China are still at relative low level, which lack the risk management to the whole process of the project, and also there exist problem as inadequate market research, excessive depend on bank, ineffective management, and inadequate brand awareness. This paper evaluates the risk with Fuzzy Comprehensive Evaluation method and puts forward the detailed prevention strategies towards these risks through analyzing the risk factors in the whole investment stage of decision-making, preparatory construction, construction, and sale. The real estate enterprises should take the quality management from the beginning to the end of the project, and do a solid feasibility study of project . They can also buy insurance, use hedge and hedging method to reduce or transfer the investment risk. This paper is aimed to provide reference to the administrator to make the decision more reasonable and scientific.
房地产投资是一项有风险的生意。投资过程中有许多风险因素存在,他们中的大多数是多种多样的和多变,如市场供求的变化,政策调整,利率的变化,所有这些因素直接影响投资的成功。中国房地产企业的风险管理水平还处于较低水平,缺乏对项目全过程的风险管理,也存在市场调查不充分、过度依赖银行、管理不力、品牌意识不强等问题。本文采用模糊综合评价法对风险进行评价,并通过分析决策、前期施工、施工、销售等整个投资阶段的风险因素,提出了具体的风险防范策略。房地产企业应从项目的开始到结束进行质量管理,并对项目进行扎实的可行性研究。他们还可以购买保险,使用套期保值和套期保值方法来降低或转移投资风险。本文旨在为管理者做出更加合理、科学的决策提供参考。
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引用次数: 2
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2011 Fourth International Joint Conference on Computational Sciences and Optimization
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