Titlebook: Integer Programming and Combinatorial Optimization; 4th International IP Egon Balas,Jens Clausen Conference proceedings 1995 Springer-Verla

品牌

The interval order polytope of a digraph,ing valid inequalities are presented. These schemes have been used implicitly for several polytopes and they are applied here to the interval order polytope. It is shown that almost all known classes of valid inequalities of the linear ordering polytope can be explained by the two classes derived fr

香料

神刊

A minimal algorithm for the Bounded Knapsack Problem,y most efficient algorithm for BKP transforms the data instance to an equivalent 0–1 Knapsack Problem, which is solved efficiently through a specialized algorithm. However this paper demonstrates, that the transformation introduces many similar weighted items, resulting in very hard instances of the

博爱家

,A framework for tightening 0–1 programs based on extensions of pure 0–1 KP and SS problems,tion from other constraints. Our approach exploits special structures that are frequently encountered in industry, namely knapsack constraints, cliques, covers, variable covers, variable upper bounds and others. We consider 0–1 knapsack and subset-sum problems with clique and cover induced constrain

豪华

dainty

Distributed near-optimal matching,d girls are part . (right nodes.) There is an edge (.., ..) ∈ . iff boy .. is interested in girl ... Every boy .. will propose to a girl .. among all those he is interested in, i.e., his adjacent right nodes in the bipartite graph .. If several boys propose to the same girl, only one of them will be

Constitution

The random linear bottleneck assignment problem,optimal solution of an . with independently and identically distributed costs tends towards the infimum of the cost range as . tends to infinity. Furthermore, explicit upper and lower bounds for the uniform cost distribution are given as functions in .. Exploiting results from evolutionary random gr

幻想

On implementing push-relabel method for the maximum flow problem,d much faster on some problem families. The speedup is due to the combination of heuristics used in our implementations. We also exhibit a family of problems for which the running time of all known methods seem to have a roughly quadratic growth rate.

让步

AGATE

Generalized max flows and augmenting paths,an depend on the size of the capacities; and 2) if the capacities are irrational then the algorithm need not even converge to an optimal solution. Edmonds and Karp [4] and Dinic [3] were the first to show that these problems can be overcome using minimum length augmenting paths. In this paper we exa