双模式的交通拥挤收费模型研究

针对公交车和私家车辆两种交通模式,建立了交通拥挤收费的双层规划模型.在模型的阻抗函数计算中,考虑了两种模式之间相互影响及其车载能力的差异.以总体出行成本最小为目标建立上层模型、以用户最优的交通配流模型作为下层模型,出行模式的选择满足Logit模型.通过"对角化"算法直接搜索满足路径选择/模式选择的下层交通配流模型均衡解.通过步长加速和惩罚函数法对这个双层规划模型进行求解,最后给出了算例.     

考虑补货周期偏移的最优库存控制双层规划

研究了物流系统中多产品共用仓库的存贮策略.假设库存系统的平均总费用包括每次订货的固定订购费、产品所需仓库空间决定的固定存贮费,以及实际存贮产品数量决定的可变存贮费.通过多产品补货周期的相对偏移节省存贮空间和费用.最优库存控制双层规划模型中,以库存系统的平均总费用最小为上层目标,以库存系统所需的仓库空间最小为下层目标,上下层模型的决策变量分别为补货周期和补货周期的偏移量.设计了求解该模型的粒子群优化算法,求得最优补货周期和补货周期偏移量.用算例验证了模型和算法的有效性.     

物流配送路线及配送时间的优化分析

运用运筹学中的动态规划算法研究实际生活中的配送线路优化问题。通过实际调研,绘制城市道路的网络图,并通过调查获得正常情况下的交通量数据,进而通过相应的方法计算出时间并赋予网络图时间权值;通过调查赋予网络图中距离权值,分别计算出配送时间的最优线路及配送路线的最优线路,并比较说明相应的实际问题。     

Excel在数控编程中的应用

为提高数控编程效率,对于零件形状轨迹在以方程形式给出的情况下,用Excel表格的函数功能实现数值计算及数控程序生成,方法实用、简单、可行。     

Comprehensive pavement maintenance strategies for road networks through optimal allocation of resources

In order to maintain a growing road infrastructure at some minimum level of service, substantial resources are required on a recurrent basis. Of late, the available resources can no longer meet all the maintenance and rehabilitation demand even in wealthy nations. Hence, there is a need to develop a tool which will optimally allocate these resources in order to keep the road infrastructure as ‘healthy’ as possible. Further, this tool must acknowledge that maintenance needs are not only restricted to structural aspects but also extend to the functional- and safety-related aspects of a road. Here, such a comprehensive optimization tool is developed which when used will optimally allocate resources in order to maintain a healthy (from structural, functional, and safety standpoints) road network. The problem of determining the optimum maintenance and rehabilitation activities for individual road sections is formulated as a linear integer programming problem. Results from a case study using the proposed method show that the suggested maintenance and rehabilitation plans make sense from engineering and economic considerations.     

The location selection problem for the household activity pattern problem

In this paper, an integrated destination choice model based on routing and scheduling considerations of daily activities is proposed. Extending the Household Activity Pattern Problem (HAPP), the Location Selection Problem (LSP–HAPP) demonstrates how location choice is made as a simultaneous decision from interactions both with activities having predetermined locations and those with many candidate locations. A dynamic programming algorithm, developed for PDPTW, is adapted to handle a potentially sizable number of candidate locations. It is shown to be efficient for HAPP and LSP–HAPP applications. The algorithm is extended to keep arrival times as functions for mathematical programming formulations of activity-based travel models that often have time variables in the objective.     

Discrete dynamic models for freeway incident detection systems

This paper considers the problem of freeway incident detection within the general framework of computer‐based freeway surveillance and control. A new approach to the detection of freeway traffic incidents is presented based on a discrete‐time stochastic model of the form ARIMA (0, 1, 3) that describes the dynamics of traffic occupancy observations. This approach utilizes real‐time estimates of the variability in traffic occupancies as detection thresholds, thus eliminating the need for threshold calibration and lessening the problem of false‐alarms. Because the moving average parameters of the ARIMA (0, 1, 3) model change over time, these parameters can be updated occasionally. The performance of the developed detection algorithm has been evaluated in terms of detection rate, false‐alarm rate, and average time‐lag to detection, using a total of 1692 minutes of occupancy observations recorded during 50 representative traffic incidents.     

基于KBE技术的复杂零件CAM系统研究

针对复杂零件数控编程工作目前存在的问题,将知识工程（Knowledge Based Engineering,KBE）技术引入复杂零件的数控编程中,系统地阐述了复杂零件广义知识库的内涵及构造原理,通过知识的获取、学习及推理,形成复杂零件的加工工艺决策,并在UG平台上运用二次开发技术,建立了复杂零件的智能数控编程导航模板,构造出基于广义知识库的复杂零件智能数控编程体系．开发的CAM系统经初步应用,证明可行,从而使复杂零件的数控编程过程简单化、高效化、智能化．     

整数规划PSO算法在备件优化配置中的应用研究

备件优化是提高装备可靠度的有效途径,以一般微粒群（PSO）算法为基础,根据备件优化的特点,提出求解整数规划问题的PSO算法。建立费用约束条件下的备件配置的优化模型,并给出了求解方法。结合算例,验证了方法的有效性及实用性。