Solving the minimum labeling global cut problem by mathematical programming

03/11/2019
by   Thiago Gouveia da Silva, et al.
0

Let G = (V, E, L) be an edge-labeled graph such that V is the set of vertices, E is the set of edges, L is the set of labels (colors) and each edge e ∈ E has a label l(e) associated; The goal of the minimum labeling global cut problem (MLGCP) is to find a subset L ⊆ L of labels such that G = (V, E , LŁ ) is not connected and |L| is minimized. This work proposes three new mathematical formulations for the MLGCP as well as branch-and-cut algorithms to solve them. The computational experiments showed that the proposed methods are able to solve small to average sized instances in a reasonable amount of time.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/12/2020

Approximating the Weighted Minimum Label s-t Cut Problem

In the weighted (minimum) Label s-t Cut problem, we are given a (directe...
research
09/06/2020

Strong rainbow disconnection in graphs

Let G be a nontrivial edge-colored connected graph. An edge-cut R of G i...
research
02/01/2020

Edge-cuts Optimized for Average Weight: a new alternative to Ford and Fulkerson

Let G be a directed graph associated with a weight w: E(G) → R^+. For an...
research
08/19/2019

The Landscape of Minimum Label Cut (Hedge Connectivity) Problem

Minimum Label Cut (or Hedge Connectivity) problem is defined as follows:...
research
11/20/2019

The Karger-Stein Algorithm is Optimal for k-cut

In the k-cut problem, we are given an edge-weighted graph and want to fi...
research
08/30/2019

Minimum Label s-t Cut has Large Integrality Gaps

Given a graph G=(V,E) with a label set L = l_1, l_2, ..., l_q, in which ...
research
04/30/2020

On Solving Cycle Problems with Branch-and-Cut: Extending Shrinking and Exact Subcycle Elimination Separation Algorithms

In this paper, we extend techniques developed in the context of the Trav...

Please sign up or login with your details

Forgot password? Click here to reset