Exploiting Reduction Rules and Data Structures: Local Search for Minimum Vertex Cover in Massive Graphs [article]

Yi Fan, Chengqian Li, Zongjie Ma, LjiLjana Brankovic, Vladimir Estivill-Castro, Abdul Sattar
2015 arXiv   pre-print
The Minimum Vertex Cover (MinVC) problem is a well-known NP-hard problem. Recently there has been great interest in solving this problem on real-world massive graphs. For such graphs, local search is a promising approach to finding optimal or near-optimal solutions. In this paper we propose a local search algorithm that exploits reduction rules and data structures to solve the MinVC problem in such graphs. Experimental results on a wide range of real-word massive graphs show that our algorithm
more » ... inds better covers than state-of-the-art local search algorithms for MinVC. Also we present interesting results about the complexities of some well-known heuristics.
arXiv:1509.05870v1 fatcat:tyet7hxvsfgtpccflsqg7g7uqa