广义指派问题及其在军事装备运输中的推广应用

军事装备中的运输问题复杂多样,如何建立数学模型是寻求优化方案的关键.本文首先将最优线性指派模型推广到广义指派模型并给出其两种算法,其次对带有时间约束的运输问题进行建模,并设法将其转化为广义指派问题来处理,从而为这类运输问题提供了一种有效可行的算法.     

具有模糊信息的多目标运输问题求解

提出一种求解具有模糊信息的多目标运输问题的方法。利用专家意见通过模糊算法集给从各产地到各目的地运送单位物资的模糊综合指标值,运用一种对模糊数排序的方法,将模糊多目标运输问题转化为单目标的运输问题进行求解,最后给出了一个数值例子。     

部分联合运输策略下的物流车辆路径优化问题研究

论文分析了物流车辆路径优化问题的特点,提出了企业自营物流和第三方物流协同运输的部分联合运输策略。根据客户需求节点的特点进行了节点分类,建立了以车辆调用成本、车辆运输成本、第三方物流运输成本之和最小为目标的整数线性规划模型。根据部分联合运输策略下各类客户需求点运输方式特点,构造了一种新的变维数矩阵编码结构,并对传统算法中概率选择操作方式进行修改,提出了一种新的智能优化算法并与枚举法和遗传算法的运算结果进行了算法性能对比分析。结果显示,本文提出的逆选择操作蚁群算法具有较快的运算速度和较高的稳定性,是求解此类问题的一种有效算法。     

一类受时间约束的广义运输问题的求解

研究一类受时间约束的广义运输问题,将时间约束转化为容量约束,并将该问题转化为标准的最小费用流问题进而求解.该方法能够较快地找到最优运输方案.     

有整数限制的运输问题

经典的运输问题是一个线性规划模型。本文讨论了把产地运输到销地的物资数量限制为非负整数时的运输问题，从理论上证明了这种有整数限制的运输问题模型可以转化为相应的线性规划模型来求解，有效地降低了计算难度。     

带时间限制的最小费用运输问题的求解方法

本文研究了带时间限制的最小费用运输问题。首先分析了运输量与运输时间的关系,并把运输时间划分成两部分,一部分与运输量无关,一部分与运输量有关;进一步根据运输时间与运输量的关系,把带时间限制的最小费用运输问题转化为变量有上界的运输问题,给出了求解该问题的有效算法,并通过实例进行了计算。     

一种运用Vague集理论转化区间运输规划的方法

为解决区间型运输问题的清晰化处理问题,将Vague集当中真假隶属度函数与必要性测度和可能性测度有机的联系起来;将区间型运输问题的约束条件分为两大类等价的问题进行研究;针对供需区间型运输规划问题的特点,利用截集的思想实现了不确定性运输问题向确定性运输问题的转化.     

基于Lagrange乘子法的一种二阶椭圆问题混合元格式

本文利用Lagrange乘子法的思想,修改了传统的混合变分形式,将二阶椭圆问题转化为与其等价的新的变分形工,给出了针对该新形式进行离散求解的一种混合元格式,与现在已知格式相比,用较少的自由度获得了较高的逼近阶。     

跨区域生产供给的决策模型及其求解

跨区域生产经营是现代企业集团发展的一种趋势,追求高效益低成本是生产经营者所考虑的首要问题.我们对这类问题进行了描述和定量分析,并在是否允许产品交叉生产两种情形下建立了优化数学模型,经过技术分析,分别将这两种模型转化为运输问题和最优平衡指派问题来处理,从而为这类经济决策问题提供了一种科学的决策依据和可行的决策方法.     

转化与化归思想漫谈

化归与转化思想是一种重要的思维模式,也是解决数学问题的一种重要的思想和方法.所谓化归与转化思想,就是在数学研究中,使一种研究对象在一定条件下化归与转化为另一种研究对象的思想.也就是说解数学题时,如果直接解原问题难以入手,或者由原问题的条件难以直接得到问题的结论,这时,我们不妨对原问题换一个方式、换一个角度、换一种观点考虑,而在这种新的方式、新的角度或新的观点下,将会使原问题变得易于解决.其一般模式是:     

C运输问题

在传统的运输问题中 ,总假设所有产地 (发点 )的产量之和或所有销地 (收点 )的销量之和就是货物的总运输量 .但在实践中 ,特别是在一些与环境有关的资源、稀有资源或不可再生资源的开发利用过程中 ,由于受环境保护或政策限制 ,常常对这些资源的开采和运输有一定的数量限制 .这一类对总运输量有数量限制的运输问题不同于 A运输问题和 B运输问题 ,我们把它称为 C运输问题 .事实上 ,C运输问题是 A运输问题和 B运输问题的推广 .将给出 C运输问题的数学模型和求解方法 .     

A Transportation model with multiple criteria and multiple constraint levels

In this paper, a transportation model with multiple criteria and multiple constraint levels (MC²) is formulated by using the framework of MC² linear programming. An algorithm is developed to solve such MC² transportation problems. In this algorithm, the traditional northwest corner rule is adopted to find an initial basic feasible solution for a given MC² transportation problem. Then the MC²-simplex method is applied to locate the set of all potential solutions over possible changes of the objective coefficient parameter and the supply and demand parameter for the MC² transportation problem. A numerical example is illustrated to demonstrate the applicability of the algorithm in solving the MC² transportation problems.     

Capacitated transportation problem with bounds on RIM conditions

Motivated by dead-mileage problem assessed in terms of running empty buses from various depots to starting points, we consider a class of the capacitated transportation problems with bounds on total availabilities at sources and total destination requirements. It is often difficult to solve such problems and the present paper establishes their equivalence with a balanced capacitated transportation problem which can be easily solved by existing methods. Sometimes, total flow in transportation problem is also specified by some external decision maker because of budget/political consideration and optimal solution of such problem is of practical interest to the decision maker and has motivated us to discuss such problem. Various situations arising in unbalanced capacitated transportation problems have been discussed in the present paper as a particular case of original problem. In addition, we have discussed paradoxical situation in a balanced capacitated transportation problem and have obtained the paradoxical solution by solving one of the unbalanced problems. Numerical illustrations are included in support of theory.     

关于B运输问题的两点注记

用实例说明 B运输问题和传统运输问题解的区别 .给出了 B运输问题一个定理的证明 ,从而使 B运输问题的有关理论更加完善     

平衡和不平衡运输问题与分配问题的通用迭代算法

将不平衡运输问题转化成网络最短路问题,利用Floyd算法规则,给出了一种既可以解平衡和不平衡运输问题,又可以解平衡和不平衡分配问题的通用迭代算法。与专门用于解运输问题的闭合回路法和专门用于解分配问题的匈牙利法相比,这种算法不但具有通用的优点,而且更便于在计算机上运行。     

Construction and Algebraic Characterizations of the Planar and Axial Transportation Problems

We describe the construction and several algebraic characterizations of the planar and axial transportation problems using the generalized inverse and the singular value decomposition of their coefficient matrices, and investigate relations between the planar and axial transportation problems. It is shown that results obtained on the planar transportation problem can be applied to the study of the solution of the axial transportation problem.     

A general Hungarian method for the algebraic transportation problem

In this paper the algebraic transportation problem is introduced which covers besides the Hitchcock and the time transportation problem several other types of transportation problems of practical relevance. To solve this algebraic transportation problem admissible transformations are considered and characterized. Thereupon a transformation algorithm is described which is a generalization of the Hungarian method for the classical transportation problem as well as of a threshold method for time transportation problems.     

Stochastic uncapacitated hub location

We study stochastic uncapacitated hub location problems in which uncertainty is associated to demands and transportation costs. We show that the stochastic problems with uncertain demands or dependent transportation costs are equivalent to their associated deterministic expected value problem (EVP), in which random variables are replaced by their expectations. In the case of uncertain independent transportation costs, the corresponding stochastic problem is not equivalent to its EVP and specific solution methods need to be developed. We describe a Monte-Carlo simulation-based algorithm that integrates a sample average approximation scheme with a Benders decomposition algorithm to solve problems having stochastic independent transportation costs. Numerical results on a set of instances with up to 50 nodes are reported.