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dc.contributor.convenorAssociation for the Advancement of Artificial Intelligenceen_AU
dc.contributor.authorCai, Shaoweien_US
dc.contributor.authorSu, Kaileen_US
dc.contributor.authorChen, Qingliangen_US
dc.contributor.editorMaria Fox and David Pooleen_US
dc.description.abstractA number of algorithms have been proposed for the Minimum Vertex Cover problem. However, they are far from satisfactory, especially on hard instances. In this paper, we introduce Edge Weighting Local Search (EWLS), a new local search algorithm for the Minimum Vertex Cover problem. EWLS is based on the idea of extending a partial vertex cover into a vertex cover. A key point of EWLS is to find a vertex set that provides a tight upper bound on the size of the minimum vertex cover. To this purpose, EWLS employs an iterated local search procedure, using an edge weighting scheme which updates edge weights when stuck in local optima. Moreover, some sophisticated search strategies have been taken to improve the quality of local optima. Experimental results on the broadly used DIMACS benchmark show that EWLS is competitive with the current best heuristic algorithms, and outperforms them on hard instances. Furthermore, on a suite of difficult benchmarks, EWLS delivers the best results and sets a new record on the largest instance.en_US
dc.publisherAAAI Pressen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofconferencenameThe Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10)en_US
dc.relation.ispartofconferencetitleProceedings of the Twenty-fourth AAAI Conference on Artificial Intelligence and the Twenty-second Innovative Applications of Artificial Intelligence Conference, the First Symposium on Educational Advance (AAAI-10)en_US
dc.relation.ispartoflocationAtlanta, Georgia, USAen_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classifieden_US
dc.titleEWLS: A new local search for Minimum Vertex Coveren_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
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