@misc{MarchandMartinWeismanteletal., author = {Marchand, Hugues and Martin, Alexander and Weismantel, Robert and Wolsey, Laurence}, title = {Cutting Planes in Integer and Mixed Integer Programming}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-4339}, number = {SC-99-44}, abstract = {This survey presents cutting planes that are useful or potentially useful in solving mixed integer programs. Valid inequalities for i) general integer programs, ii) problems with local structure such as knapsack constraints, and iii) problems with 0-1 coefficient matrices, such as set packing, are examined in turn. Finally the use of valid inequalities for classes of problems with structure, such as network design, is explored.}, language = {en} } @misc{FerreiraMartinSouzaetal., author = {Ferreira, Carlos E. and Martin, Alexander and Souza, Cid C. de and Weismantel, Robert and Wolsey, Laurence}, title = {Formulations and Valid Inequalities for the Node Capacitated Graph Partitioning Problem.}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-1450}, number = {SC-94-16}, abstract = {We investigate the problem of partitioning the nodes of a graph under capacity restriction on the sum of the node weights in each subset of the partition. The objective is to minimize the sum of the costs of the edges between the subsets of the partition. This problem has a variety of applications, for instance in the design of electronic circuits and devices. We present alternative integer programming formulations for this problem and discuss the links between these formulations. Having chosen to work in the space of edges of the multicut, we investigate the convex hull of incidence vectors of feasible multicuts. In particular, several classes of inequalities are introduced, and their strength and robustness are analyzed as various problem parameters change.}, language = {en} } @misc{FerreiraMartinSouzaetal., author = {Ferreira, Carlos E. and Martin, Alexander and Souza, Cid C. de and Weismantel, Robert and Wolsey, Laurence}, title = {The Node Capacitated Graph Partitioning Problem: A Computational Study.}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-1469}, number = {SC-94-17}, abstract = {In this paper we consider the problem of \$k\$-partitioning the nodes of a graph with capacity restrictions on the sum of the node weights in each subset of the partition, and the objective of minimizing the sum of the costs of the edges between the subsets of the partition. Based on a study of valid inequalities, we present a variety of separation heuristics for so-called cycle, cycle with ears, knapsack tree and path-block-cycle inequalities. The separation heuristics, plus primal heuristics, have been implemented in a branch-and-cut routine using a formulation including the edges with nonzero costs and node variables. Results are presented for three classes of problems: equipartitioning problems arising in finite element methods and partitioning problems associated with electronic circuit layout and compiler design.}, language = {en} }