Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6871132 | Discrete Applied Mathematics | 2018 | 11 Pages |
Abstract
In recent works, authors added conflicts to classical discrete optimization problems. In this paper, a conflict is a pair of vertices that cannot be both in a solution. Set of conflicts can be viewed as edges of a so called conflict graph. An instance is then a support graph and a conflict graph. With these new constraints, the existence of a solution (dominating set or independent dominating set) with no conflicts is no more guaranteed. We explore this subject and we prove that it is NP-complete to decide the existence of a solution even in very restricted classes of graphs and conflicts (sparse or dense). We also propose polynomial algorithms for some sub-cases, using deterministic finite automata.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Alexis Cornet, Christian Laforest,