## Polyhedral Techniques in Combinatorial Optimization II: Computations (1995)

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Venue: | Statistica Neerlandica |

Citations: | 5 - 1 self |

### BibTeX

@ARTICLE{Aardal95polyhedraltechniques,

author = {Karen Aardal and Stan Van Hoesel},

title = {Polyhedral Techniques in Combinatorial Optimization II: Computations},

journal = {Statistica Neerlandica},

year = {1995},

volume = {50},

pages = {3--26}

}

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### Abstract

The polyhedral approach is one of the most powerful techniques available for solving hard combinatorial optimization problems. The main idea behind the technique is to consider the linear relaxation of the integer combinatorial optimization problem, and try to iteratively strengthen the linear formulation by adding violated strong valid inequalities, i.e., inequalities that are violated by the current fractional solution but satisfied by all feasible solutions, and that define high-dimensional faces, preferably facets, of the convex hull of feasible solutions. If we have the complete description of the convex hull of feasible solutions all extreme points of this formulation are integral, which means that we can solve the problem as a linear programming problem. Linear programming problems are known to be computationally easy. In Part I of this article we discuss theoretical aspects of polyhedral techniques. Here we will mainly concentrate on the computational aspects. In particular we ...