Add to ORKGA variety of efficient kernelization strategies for the classic vertex cover problem are developed, implemented and compared experimentally. A new technique, termed crown reduction, is introduced and analyzed. Applications to computational biology are discussed.N/
International audienceThe technique of kernelization consists in extracting, from an instance of a p...
Vertex Cover is one of the most well studied problems in the realm of parameterized algorithms and a...
The purpose of this thesis is to give a mathematical analysis of the power of data reduction for dea...
We are pleased to dedicate this survey on kernelization of the Vertex Cover problem, to Professor Ju...
25 pages, 10 figures. Appeared in volume 11011 of LNCS, pages 330-356, see Reference [29] in the tex...
Summary form only given. Two kernelization methods for the vertex cover problem are investigated. Th...
Two kernelization schemes for the vertex cover problem, an NP-hard problem in graph theory, are comp...
The vertex cover problem is one of a handful of problems for which kernelization—the repeated reduci...
Kernelization is a concept that enables the formal mathematical analysis of data reduction through t...
In the NP-complete problem Vertex Cover, one is given a graph G and an integer k and are asked wheth...
In this paper, we consider multi-objective evolutionary algorithms for the Vertex Cover problem in t...
Abstract. We examine the behavior of two kernelization techniques for the vertex cover problem viewe...
We study the kernelization complexity of structural parameterizations of the Vertex Cover problem. H...
The Vertex Cover problem plays an essential role in the study of polynomial kernelization in paramet...
In the Maximum Minimal Vertex Cover (MMVC) problem, we are given a graph G and a positive integer k,...
International audienceThe technique of kernelization consists in extracting, from an instance of a p...
Vertex Cover is one of the most well studied problems in the realm of parameterized algorithms and a...
The purpose of this thesis is to give a mathematical analysis of the power of data reduction for dea...
We are pleased to dedicate this survey on kernelization of the Vertex Cover problem, to Professor Ju...
25 pages, 10 figures. Appeared in volume 11011 of LNCS, pages 330-356, see Reference [29] in the tex...
Summary form only given. Two kernelization methods for the vertex cover problem are investigated. Th...
Two kernelization schemes for the vertex cover problem, an NP-hard problem in graph theory, are comp...
The vertex cover problem is one of a handful of problems for which kernelization—the repeated reduci...
Kernelization is a concept that enables the formal mathematical analysis of data reduction through t...
In the NP-complete problem Vertex Cover, one is given a graph G and an integer k and are asked wheth...
In this paper, we consider multi-objective evolutionary algorithms for the Vertex Cover problem in t...
Abstract. We examine the behavior of two kernelization techniques for the vertex cover problem viewe...
We study the kernelization complexity of structural parameterizations of the Vertex Cover problem. H...
The Vertex Cover problem plays an essential role in the study of polynomial kernelization in paramet...
In the Maximum Minimal Vertex Cover (MMVC) problem, we are given a graph G and a positive integer k,...
International audienceThe technique of kernelization consists in extracting, from an instance of a p...
Vertex Cover is one of the most well studied problems in the realm of parameterized algorithms and a...
The purpose of this thesis is to give a mathematical analysis of the power of data reduction for dea...