{"type":"ScholarlyArticle","title":"Balance between Complexity and Quality: Local Search for Minimum Vertex Cover in Massive Graphs","authors":[{"name":"Shaowei Cai","slug":"shaowei-cai","given":"Shaowei","family":"Cai","affiliation":""}],"abstract":"The problem of finding a minimum vertex cover (MinVC) in a graph is a well known NP-hard problem with important applications. There has been much interest in developing heuristic algorithms for finding a good vertex cover in graphs. In practice, most heuristic algorithms for MinVC are based on the local search method. Previously, local search algorithms for MinVC have focused on solving academic benchmarks where the graphs are of relatively small size, and they are not suitable for solving massive graphs as they usually have high-complexity heuristics. In this paper, we propose a simple and fast local search algorithms called FastVC for solving MinVC in massive graphs, which is based on two low-complexity heuristics. Experimental results on a broad range of real world massive graphs show that FastVC finds much better vertex cover (and thus also independent sets) than state of the art local search algorithms for MinVC.","doi":null,"url":"https://ijcai.org/proceedings/2015/111","pdf":"https://ijcai.org/proceedings/2015/0111.pdf","markdown":"https://ijcai.org/proceedings/2015/111.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/111","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Heuristic Search","track":"Main Track","number":111,"pages":{"first":747,"last":752},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}