EQUILIBRIUM ALGORITHMS WITH NONMONOTONE LINE SEARCH TECHNIQUE FOR SOLVING THE TRAFFIC ASSIGNMENT PROBLEMS

This paper presents a unified bination algorithms （such as FrankWolfe problems. Global convergence results are framework of the nonmonotone convex comAlgorithm） for solving the traffic assignment established under mild conditions. The line search procedure used in our algorithm includes the nonmonotone Armijo rule, the non- monotone Goldstein rule and the nonmonotone Wolfe rule as special cases. So, the new algorithm can be viewed as a generalization of the regular convex combination algorithm.     

非线性规划的一个改进型可行方向法

本文对Frank-Wolef方法进行了改进,从而得到了一个新的算法。并且讨论了算法的收敛性及在凸规划情形具有的良好收敛性质。     

非线性约束条件下一个收敛的梯度投影法

本文提出了一个非线性约束条件下新的梯度投影方法。在较简单的假设之下,此算法是全局收敛的,且和现有的非线性约束条件下的一些梯度投影法相比较为简单。     

Modeling the congestion cost and vehicle emission within multimodal traffic network under the condition of equilibrium

Traditional system optimization models for traffic network focus on the treatment of congestion, which usually have an objective of minimizing the total travel time.However,the negative externality of congestion,such as environment pollution,is neglected in most cases.Such models fall short in taking Greenhouse Gas(GHG) emissions and its impact on climate change into consideration.In this paper,a social-cost based system optimization(SO) model is proposed for the multimodal traffic network considering both traffic congestion and corresponding vehicle emission.Firstly,a variation inequality model is developed to formulate the equilibrium problem for such network based on the analysis of travelers’ combined choices.Secondly,the computational models of traffic congestion and vehicle emission of whole multimodal network are proposed based on the equilibrium link-flows and the corresponding travel times.A bi-level programming model,in which the social-cost based SO model is treated as the upper-level problem and the combined equilibrium model is processed as the lower-level problem,is then presented with its solution algorithm.Finally,the proposed models are illustrated through a simple numerical example.The study results confirm and support the idea of giving the priority to the development of urban public transport,which is an effective way to achieve a sustainable urban transportation.     

对企业实行外部监控的调查与监督

企业的监督与激励是现代企业制度的两个方面，主要讨论了如何实现对企业的有效监督．从最大化社会福利的角度出发，讨论了对企业实行监督的机制，应用博奕论的思想分析了监督者与被监督者的博奕过程，并以调查、监视、举报和罚款等措施来防范企业的违法经营．在存在信息不对称的条件下讨论了这些措施之间的关系，得出了罚款与调查和监视之间存在替代性．为实现最优的社会福利，监督者对企业采取随机的监视和调查并给出这种监视和调查的最优频率形式的特点．     

非线性规划中的约束变尺度法(续)

系统地介绍了非线性规划中的约束变尺度法的基本思想和方法。并就Maratos效应的克服、变尺度矩阵的修正、相容性以及约束变尺度法中的可行方法等问题研究的最新成果进行较为详细的介绍。     

用神经网络进行变量选择

针对变量选择问题的困难,提出了一种基于神经网络的变量选择方法,并以实例表明了该方法的有效性     

镀Sn-Ni硅酸钙镁晶须对镍粉/环氧树脂屏蔽涂料性能的影响

以镀Sn-Ni硅酸钙镁晶须和镍粉作为屏蔽功能填料,以环氧树脂作为黏结剂,按照涂料制备的方法,制备了一种新型镀Sn-Ni硅酸钙镁晶须/镍粉/环氧树脂电磁波屏蔽复合涂料,并研究了镀Sn-Ni硅酸钙镁晶须对镍粉/环氧树脂屏蔽复合涂料导电性和屏蔽性能的影响。结果表明,镀Sn-Ni硅酸钙镁晶须的最佳含量为占屏蔽复合填料的5%。当涂层厚度为0.3mm时,涂层的电阻率为1.32Ω.cm,在300 kHz~1.5 GHz频段内,涂层的屏蔽效能为37.197~46.139 dB。与不含晶须的涂层相比,电阻率降低了1.08Ω.cm,屏蔽效能提高了5.385~9.854 dB。该研究为矿产资源的综合利用和电磁环境污染的综合治理提供了一种新的思路和方法。     

求解线性规划的单纯形方法与折线搜索技术

本文给出了一个求解线性规划的折线搜索法,该方法是在单纯形方法中增加了折线搜索技术。新方法能够减少迭代次数,也能消除已有的指数算例。     

Charging Station Planning for Plug-In Electric Vehicles

A novel model for the charging station planning problem of plug-in electric vehicles is proposed in this paper considering the users’ daily travel. With the objective of minimizing the total cost, including the charging stations’ cost (including installing cost and management cost) and the users’ cost (including station access cost and charging cost), the proposed model simultaneously handles the problems where to locate the charging stations and how many chargers to be established in each charging station. Considering that different users may have different perception of station access cost and charging cost, two cases (i.e., homogeneous users and heterogeneous users) are typically investigated. The impacts of different discount rates, operating period of the charging stations, number of electric vehicles and number of charging stations on the location of the charging station are also studied. The simulation results not only show that it is very important to locate the charging stations according to the traveling behavior of users, but also verify the validity of the proposed model.