The Use of Specially Structured Models for Obtaining Bounds in the Quadratic Assignment Problem

In this paper we study a procedure for finding bounds for the quadratic assignment problem. This procedure may be used as a sub-routine in hybrid procedures for solving this problem. The approach is based upon a data decomposition method, linking the actual data to the data of a special class of assignment problems for which bounds are computationally tractable.     

N×2N瓶颈指派问题及其阀门(threshold)算法

讨论把2N项任务(或工件)指派(安排)给N个人(或机器)的问题.已知人i处理(或加工)任务j的时间花费是cij,i=1,2,…,N,j=1,2,…,2N,要求每人恰承担2项任务,每项任务恰由1个人承担.怎样分派任务,使完成任务最慢的人所花的时间最少.     

链式先后关系下的单机分批排序问题

在本文,我们证明链式先后关系下的单机分批排序问题是强NP困难的,解决了Albers和Brucker（1993）提出的待解决问题．关于此问题,Albers和Brucker（1993）也曾试图给出NP困难性证明,我们阐明了其证明中存在的缺陷．     

具有优先约束的单机随机排序问题

讨论工件的加工时间为常数,机器发生随机故障的单机随机排序问题,目标函数极小化工件的加权完工时间和的数学期望最小.考虑两类优先约束模型.在第一类模型中,设工件间的约束为串并有向图.证明了模块M的ρ因子最大初始集合I中的工件优先于模块中的其它工件加工,并且被连续加工所得的排序为最优排序,从而将Lawler用来求解约束为串并有向图的单机加权总完工时间问题的方法推广到机器发生随机故障的情况.在第二类模型中,设工件间的约束为出树优先约束.证明了最大家庭树中的工件优先于家庭树中其它的工件加工,并且其工件连续加工所得到的排序为最优排序并给出了最优算法.     

带有链优先序的分批排序问题

本文首次就带有优先序的分批排序问题进行了讨论，目标函数为最大完工时间．当优先序为链，一条链上的工件个数为饨，而其它链的工件个数为常数，分批的容量B大于等于链的条数，在这种情况下，问题为多项式可解的．文中并讨论了几种特殊情况的多项式算法．     

有根森林优先约束的单机随机排序问题

讨论单机随机排序问题,目标函数为确定工件的排列顺序使工件的加权完工时间和的数学期望最小.设工件间的优先约束为有根森林,机器发生随机故障.对此情况,给出了多项式时间的最优算法.     

Power Measures and Solutions for Games Under Precedence Constraints

Games under precedence constraints model situations, where players in a cooperative transferable utility game belong to some hierarchical structure, which is represented by an acyclic digraph (partial order). In this paper, we introduce the class of precedence power solutions for games under precedence constraints. These solutions are obtained by allocating the dividends in the game proportional to some power measure for acyclic digraphs. We show that all these solutions satisfy the desirable axiom of irrelevant player independence, which establishes that the payoffs assigned to relevant players are not affected by the presence of irrelevant players. We axiomatize these precedence power solutions using irrelevant player independence and an axiom that uses a digraph power measure. We give special attention to the hierarchical solution, which applies the hierarchical measure. We argue how this solution is related to the known precedence Shapley value, which does not satisfy irrelevant player independence, and thus is not a precedence power solution. We also axiomatize the hierarchical measure as a digraph power measure.     

工作分派问题的一种模糊决策模型

针对一类流水线式的工作分派问题,建立了在赋模糊权的二部图中求解模糊最大最小匹配的数学模型,给出了该模型的一个有效算法,并利用模糊决策思想得到了优化此类工作分派问题的一种决策方法     

双目标瓶颈指派问题的遗传算法

给出一种双目标瓶颈指派问题的新模型,本模型结合了决策者和工人两方面的因素,特别之处在于考虑到了工人对工作的排名偏好.进而,将双目标瓶颈指派问题转化为单目标规划,并设计了解此问题的遗传算法,算法的解均为双目标瓶颈指派问题的Pareto最优解.     

带服务优先级车辆路径问题的扫描禁忌搜索算法

提出了一种带服务优先级车辆路径问题的模型(Vehicle Routing Problem with Precedence Constraints,VRPPC),和一种扫描—禁忌搜索算法(sweep-Taboo Search Algorithm,S-TSA).然后,运用S-TSA对郑煤物资供销有限公司的带有服务优先级的危险物资配送进行优化求解,并与扫描遗传算法(sweep-Genetic Algorithm,SGA),禁忌搜索算法(Taboo Search Algorithm,TSA),人工鱼群算法(Artificial Fish Algorithm,AFA)进行比较研究,研究结果显示:扫描禁忌搜索算法能在满足服务优先级的前提下,使配送费用最少.     

考虑任务优先约束的同类岸桥作业调度优化

分析了以箱组为任务对象QCSP与以整贝为任务对象QCSP的异同,指出前者更能均衡各岸桥作业负荷,并减少船舶装卸作业时间。考虑到岸桥具有作业效率差异的特点,将其视为同类平行机调度问题,同时结合任务优先约束、岸桥作业不可相互穿越与安全距离等特有约束,建立了更加符合实际的以箱组为任务对象的岸桥作业调度混合整数规划模型,其优化目标是最小化装卸作业的makespan。针对模型求解的复杂度,设计了一种遗传算法,对算法搜索空间进行了讨论,并推导了问题的低界。实验算例表明所建立的模型能够反映岸桥作业调度过程中作业效率差异及任务优先约束现象,其算法能够在允许的运算时间内获得稳定的满意解,并且优化结果要全面优于以整贝为任务对象QCSP的调度方案。     

工件优先级图为非连接图且含环的单机总加权拖期调度问题

为满足实际生产环境对工件加工顺序和工件到达时间的要求,提出了具有新特征的单机总加权拖期调度问题,其特点体现在:工件有动态到达时间,且由工件优先级关系构成的优先级图为非连接图且存在环的情况,对该问题建立数学规划模型,在扩展Tang和Xuan等的基础上,提出了结合双向动态规划的拉格朗日松弛算法求解该问题。在该算法的设计中,提出双向动态规划算法求解拉格朗日松弛问题,使得它可处理优先级图中一个工件可能有多个紧前或紧后工件的情况,采用次梯度算法更新拉格朗日乘子,基于拉格朗日松弛问题的解设计启发式算法构造可行解。实验测试结果显示,所设计的拉格朗日松弛算法能够在较短的运行时间内得到令人满意的近优解,为更复杂的调度问题的求解提供了思路。     

基于多资源约束和活动调整优先级的关键链识别方法研究

针对多资源约束项目,提出一种考虑活动调整优先关系的关键链识别改进方法.采用灰色关联分析方法综合考虑活动的资源影响程度、活动的持续时间和紧后活动链持续时间确定活动调整的优先级.结合"多化单"识别方法与通用识别流程识别关键链,当存在资源冲突时,在满足活动时间约束关系的前提下,依据活动调整优先级调整活动执行顺序,生成满足所有资源约束的积极的和延迟的进度计划,从而确定关键链.通过算例展示了改进方法的应用过程,验证了改进方法的可靠性与合理性.     

单台机器多链时间约束问题的若干新结果

在本文中,我们针对Ｗｉｋｕｍ等人在文［４］中提出的单台机器多链时间 约束问题的若干个公开问题给出了一些新的结果．我们证明了带有延迟时间上界的 ｋ－２－链形结构的排序问题是ＮＰ－困难的,并分别对带有延迟时间上界／下界的 ｋ－（２,１,…,１）－链形结构问题给出了一个拟多项式时间算法．     

Two classes of Quadratic Assignment Problems that are solvable as Linear Assignment Problems

The Quadratic Assignment Problem is one of the hardest combinatorial optimization problems known. We present two new classes of instances of the Quadratic Assignment Problem that can be reduced to the Linear Assignment Problem and give polynomial time procedures to check whether or not an instance is an element of these classes.     

A Branch & Cut Algorithm for the Asymmetric Traveling Salesman Problem with Precedence Constraints

In this article we consider a variant of the classical asymmetric traveling salesman problem (ATSP), namely the ATSP in which precedence constraints require that certain nodes must precede certain other nodes in any feasible directed tour. This problem occurs as a basic model in scheduling and routing and has a wide range of applications varying from helicopter routing (Timlin, Master's Thesis, Department of Combinatorics and Optimization, University of Waterloo, 1989), sequencing in flexible manufacturing (Ascheuer et al., Integer Programming and Combinatorial Optimization, University of Waterloo, Waterloo, 1990, pp. 19–28; Idem., SIAM Journal on Optimization, vol. 3, pp. 25–42, 1993), to stacker crane routing in an automatic storage system (Ascheuer, Ph.D. Thesis, Tech. Univ. Berlin, 1995). We give an integer programming model and summarize known classes of valid inequalities. We describe in detail the implementation of a branch&cut-algorithm and give computational results on real-world instances and benchmark problems from TSPLIB. The results we achieve indicate that our implementation outperforms other implementations found in the literature. Real world instances with more than 200 nodes can be solved to optimality within a few minutes of CPU-time. As a side product we obtain a branch&cut-algorithm for the ATSP. All instances in TSPLIB can be solved to optimality in a reasonable amount of computation time.     

Multi-Lagrange-Multiplier Problems: Desensitized Pole Assignment With Minimal Controller Matrix Norm for Networked Control Systems and Constraints in High-order Mechatronics

From a computational viewpoint, state controllers are implemented in fixed-point microcontrollers with matrices small in norm sense. Inaccuracies when implementing K in networked or remote control are anticipated by including a particular desensitization term. A direct approach for minimizing the Frobenius norm of the controller matrix is addressed including the conditions of predetermined eigenvalues of the closed-loop system. In mechatronics, there is a challenging demand on optimization augmented by a considerable number of conditions. The problem is solvable with several equality conditions included by Lagrange multipliers and interpolation techniques.     

Solving Large Quadratic Assignment Problems in Parallel

Quadratic Assignment problems are in practice among the mostdifficult to solve in the class of NP-complete problems. Theonly successful approach hitherto has been Branch-and-Bound-basedalgorithms, but such algorithms are crucially dependent on good boundfunctions to limit the size of the space searched. Much work hasbeen done to identify such functions for the QAP, but with limitedsuccess.Parallel processing has also been used in order to increase the sizeof problems solvable to optimality. The systems used have, however, oftenbeen systems with relatively few, but very powerful vector processors, andhave hence not been ideally suited for computations essentially involving non-vectorizable computations on integers.In this paper we investigate the combination of one of the best bound functions for a Branch-and-Bound algorithm (the Gilmore-Lawler bound) and various testing, variable binding and recalculation of bounds between branchings when used in aparallel Branch-and-Bound algorithm. The algorithm has been implemented on a 16-processor MEIKO Computing Surface with Intel i860processors. Computational results from the solution of a number of large QAPs, including the classical Nugent 20 are reported.     

Time-Cost Trade-Off Analysis in Some Constrained Assignment Problems

Several variations of two-dimensional (workers x jobs) and three-dimensional (workers x jobs x machines) time- as well as cost-minimizing assignment problems, which arise owing to (i) precedence relations of some form among the jobs or (ii) capacity restrictions on workers/machines imposed by the requirement that the surplus resources have to be fully employed, have been considered in the literature. In this paper, an algorithm is presented for time-cost trade-off analysis which is applicable to any general pair of such constrained problems. The algorithm is also illustrated by a numerical example.