An adaptive large-neighborhood search heuristic for a multi-period vehicle routing problem

This problem involves optimizing product collection and redistribution from production locations to a set of processing plants over a planning horizon. This horizon consists of several days, and the collection-redistribution is performed on a repeating daily basis. A single routing plan must be prepared for the whole horizon, taking into account the seasonal variations in the supply. We model the problem using a sequence of periods, each corresponding to a season. We propose an adaptive large-neighborhood search with several specifically designed operators and features. The results show the excellent performance of the algorithm in terms of solution quality and computational efficiency.     

Arc routing problems to restore connectivity of a road network

After a disaster, restoring accessibility in the affected area is critical for response operations. We study two arc routing problems for clearing blocked roads. The first problem minimizes the time to reconnect the road network, while the second maximizes the total benefit gained by reconnecting network components within a time limit. For each problem, we develop a mixed integer programming formulation and two versions of a heuristic algorithm. We conduct computational experiments on Istanbul data and instances adapted from the literature. The heuristics achieve near-optimal or optimal solutions quickly in most of the tested instances.     

A Generalized Nash Equilibrium network model for post-disaster humanitarian relief

We develop a Generalized Nash Equilibrium network model for post-disaster humanitarian relief by nongovernmental organizations (NGOs). NGOs derive utility from providing relief supplies to victims of the disaster at demand points in a supply chain context while competing with each other for financial funds provided by donations. The shared constraints consist of lower and upper bounds for demand for relief items at the demand points to reduce materiel convergence or congestion. This game theory problem is reformulated as an optimization problem and numerical examples and a theoretical case study on Hurricane Katrina given.     

A profit-maximization location-capacity model for designing a service system with risk of service interruptions

This paper considers the design of an immobile service system in which each facility’s service process is subject to the risk of interruptions. The location-capacity decisions and allocations are simultaneously made to maximize the difference between the service provider’s profit and the sum of customers’ transportation and waiting costs. An efficient Lagrangian-based solution algorithm is developed, which solves large-sized instances with up to 50 service facilities and 500 customers in a few seconds. Several sensitivity analyses and managerial insights are presented. The model is also applied to a case study on a logistics network design problem in the zinc mining industry.     

案例教学法在高职法律教学中的应用

案例教学法是高职法律教学中一种重要的方法,其对掌握法律理论知识、提高学生综合素能、调动学习积极性、强化教学效果都有帮助。运用案例教学法应遵从相应的步骤并注意若干问题,以发挥其在法律教学中的作用。     

新疆高校学生档案管理的价值分析

本文立足于新疆高校学生档案管理的实际状况,通过详实而全面的调研,阐析新疆高校学生档案管理现状和存在的问题,并对如何解决这些问题做出理性的选择。     

财务软件操作中常见问题解析——以金蝶KIS标准版为例

结合教学实践，分析金蝶KIS标准版财务软件的主要功能模块——系统维护及系统初始化设置模块、账务处理模块以及工资管理、固定资产管理、出纳管理等存在的常见操作问题，便于广大初学者熟练掌握会计软件。     

农村民间金融问题与对策探究

农村民间金融的存在弥补了正规金融在农村金融活动中的"缺位",是对正规金融的一种有益补充,在农村经济发展和社会主义新农村建设中发挥着重要作用,但其在发展过程中存在着诸多问题。因此,分析了农村民间金融存在的主要问题,并提出了完善的对策。     

论王世杰与抗战时期的中共问题——以《王世杰日记》为中心

王世杰是新政学系的重要人物，思想属自由主义范畴。抗战时期国民党内对中共问题形成两派意见，王世杰认为不能使用武力对付共产党，应寻求政治途径，国民政府必须改良政治，实行资产阶级自由主义政治制度。为此，他不断游说蒋介石和国民党党内人士，提出政治解决办法，调和国共矛盾，缓和两党关系。正是由于他的坚持和努力，国共之间进行了较长时间的谈判，国民党中央全会通过了政治解决中共问题的决议。尽管此主张并未取得具体的、实质性结果，内战未能避免，但为赢得一定的国内和局、争取抗战胜利发挥了实际作用，这是应该承认的。     

高职院校信息化建设中存在的问题和对策

随着经济的逐步发展,高职院校示范性建设也在不断加速改进,各个院校的老师学生人数在快速增加,新的建筑,新的设备以及新的应用也在迅猛的增长,教育也越来越要求信息化。这一情况促使学校要开始建立多层次,创新型以及开拓思维性的教育模式,要不断的提高创办学校质量与效益,促进科技研究水平,提高培养的人才的全面素质,才能更好地适应信息社会所需要的各种全面型的人才,而要实现这一目地,没有信息化数字化的校园,是很难实现的。但是,就目前实际情况而言,我国高职院校信息化建设之中仍旧存在着较多的问题,而解决这些问题,探究最佳方案,已经成为高职院校信息化建设之中首要解决的问题,是重中之重。