并行工程模式下企业管理决策的几个问题及其求解

针对并行工程模式下企业管理决策的典型问题,建立一组以省时为优化目标的数学模型。这些模型能较好地表现并行工程哲理的并行性、约束性和协调性特征。讨论了模型的求解,并给出一个算例。     

模拟模型自动生成器的研制

文章在论述程序自动生成必要性的基础上,提出用DBAM方法自动构模,并以某露天矿汽车运输调度系统作为研究对象,编制各环节的标准模拟模型,对标准模型进行分析,找出其中的规律,设计模型生成器,实现新模型的自动生成。     

Multi-modal Information Integration for Interactive Multi-agent Systems

This paper proposes a multi-agent system that carries out cooperative work. To achieve this, we use Fuzzy Associative Memory Organizing Unit Systems (FAMOUS) and Conceptual Fuzzy Sets (CFS). By using these proposed methods, each agent robot can decide its own behaviour to suit the situation in its environment. We apply this system to an Intelligent Transportation System (ITS) and do simulations.     

Pedestrian detection and tracking at crossroads

This paper presents a system that can perform pedestrian detection and tracking using vision-based techniques. A very important issue in the field of intelligent transportation system is to prevent pedestrians from being hit by vehicles. Recently, a great number of vision-based techniques have been proposed for this purpose. In this paper, we propose a vision-based method, which combines the use of a pedestrian model as well as the walking rhythm of pedestrians to detect and track walking pedestrians. Through integrating some spatial and temporal information grabbed by a vision system, we are able to develop a reliable system that can be used to prevent traffic accidents happened at crossroads. In addition, the proposed system can deal with the occlusion problem. Experimental results obtained by executing some real world cases have demonstrated that the proposed system is indeed superb.     

基于模型检测的领域约束规划

基于模型检测的智能规划是当今通用的智能规划研究的热点,其求解效率比较高.但是,目前基于模型检测的智能规划系统没有考虑到利用领域知识来提高描述能力和求解效率.为此,研究了增加领域约束的基于模型检测的智能规划方法,并据此建立了基于模型检测的领域约束规划系统DCIPS(domain constraints integrated planning system).它主要考虑了领域知识在规划中的应用,将领域知识表示为领域约束添加到规划系统中.根据"规划=动作+状态",DCIPS将领域约束分为3种,即对象约束、过程约束和时序约束,采用对象约束来表达状态中对象之间的关系,采用过程约束来表达动作之间的关系,采用时序约束表达动作与状态中对象之间的关系.通过在2002年智能规划大赛AIPS 2002上关于交通运输领域的3个例子的测试,实验结果表明,利用领域约束的DCIPS可以方便地增加领域知识,更加实用化,其效率也有了相应的提高.     

运输任务分配与路径选择的组合优化模型

针对运输任务分配与路径选择的组合优化问题,提出基于二维染色体结构的改进遗传求解算法。采用自然数编码,设计选择、交叉、变异、检查算子,以及算法的控制参数和算法终止条件,给出遗传算法的求解模型。开发基于C#的实验平台进行验证,结果证明,该算法具有较好的求解性能。     

A progressive deployment strategy for cooperative adaptive cruise control to improve traffic dynamics

Cooperative adaptive cruise control(CACC)vehicles are intelligent vehicles that use vehicular ad hoc networks(VANETs)to share trafc information in real time.Previous studies have shown that CACC could have an impact on increasing highway capacities at high market penetration.Since reaching a high CACC market penetration level is not occurring in the near future,this study presents a progressive deployment approach that demonstrates to have a great potential of reducing trafc congestions at low CACC penetration levels.Using a previously developed microscopic trafc simulation model of a freeway with an on-ramp—created to induce perturbations and trigger stop-and-go trafc,the CACC system s efect on the trafc performance is studied.The results show signifcance and indicate the potential of CACC systems to improve trafc characteristics which can be used to reduce trafc congestion.The study shows that the impact of CACC is positive and not only limited to a high market penetration.By giving CACC vehicles priority access to high-occupancy vehicle(HOV)lanes,the highway capacity could be signifcantly improved with a CACC penetration as low as 20%.     

Solving the integrated scheduling of production and rail transportation problem by Keshtel algorithm

Nowadays, scheduling of production cannot be done in isolation from scheduling of transportation since a coordinated solution to the integrated problem may improve the performance of the whole supply chain. In this paper, because of the widely used of rail transportation in supply chain, we develop the integrated scheduling of production and rail transportation. The problem is to determine both production schedule and rail transportation allocation of orders to optimize customer service at minimum total cost. In addition, we utilize some procedures and heuristics to encode the model in order to address it by two capable metaheuristics: Genetic algorithm (GA), and recently developed one, Keshtel algorithm (KA). Latter is firstly used for a mathematical model in supply chain literature. Besides, Taguchi experimental design method is utilized to set and estimate the proper values of the algorithms’ parameters to improve their performance. For the purpose of performance evaluation of the proposed algorithms, various problem sizes are employed and the computational results of the algorithms are compared with each other. Finally, we investigate the impacts of the rise in the problem size on the performance of our algorithms.     

GIS在敏捷运输路径选择中的应用

大宗多种物资多源多汇(多O-D对)敏捷运输问题不同于传统运输问题,它以时间约束为首要考虑的因素。该文从基于地理信息系统(GIS)快速运输的思路出发,对多供需点带时间约束和成本优化的调运问题给出了启发式算法,最后给出了算例。     

平行公交系统中的计算实验问题研究

研究了在平行公交系统中如何进行计算实验的问题. 平行公交系统中的计算实验主要通过以下三步完成: 1)基于简化的数学模型的求解确定初始的公交发车时间间隔; 2)在一个较小范围内不断调整公交车发车间隔, 在平行公交系统中运行观察其运行效果, 形成不同的发车间隔方案; 3)建立方案评价体系, 对得到的发车间隔方案进行评估, 确定最优发车方案. 在本文的计算实验实例中, 共进行了6次计算实验, 得到了一个最优的发车方案, 并基于结果数据说明了论文所提方法的其合理性.