Title
Bi-criteria and approximation algorithms for restricted matchings.
Abstract
In this work we study approximation algorithms for the Restricted matching problem which is defined as follows: given a graph in which each edge e has a color ce and a profit pe∈Q+, we want to compute a maximum (cardinality or profit) matching in which no more than wj∈Z+ edges of color cj are present. This kind of problems, beside the theoretical interest on its own right, emerges in multi-fiber optical networking systems, where we interpret each unique wavelength that can travel through the fiber as a color class and we would like to establish communication between pairs of systems. We study approximation and bi-criteria algorithms for this problem which are based on linear programming techniques and, in particular, on polyhedral characterizations of the natural linear formulation of the problem. In our setting, we allow violations of the bounds wj and we can model our problem as a bi-criteria problem: we have two objectives that we want to optimize namely (a) to maximize the profit (maximum matching) while (b) minimizing the violation of the color bounds. We prove how we can “beat” the integrality gap of the natural linear programming formulation of the problem by allowing only a slight violation of the color bounds. In particular, our main result is constant approximation bounds for both criteria of the corresponding bi-criteria optimization problem.
Year
DOI
Venue
2013
10.1016/j.tcs.2013.11.027
Theoretical Computer Science
Keywords
DocType
Volume
Approximation algorithms,Combinatorial optimization,Linear programming,Graph algorithms
Journal
540
ISSN
Citations 
PageRank 
0304-3975
0
0.34
References 
Authors
22
2
Name
Order
Citations
PageRank
Monaldo Mastrolilli151439.27
Georgios Stamoulis2116.11