Abstract
Computing the margin of victory (MOV) in an Instant Runoff Voting (IRV) election is NP-hard. In an IRV election with winning candidate w, the MOV defines the smallest number of cast votes that, if modified, result in the election of a candidate other than w. The ability to compute such margins has significant value. Arguments over the correctness of an election outcome usually rely on the size of the electoral margin. Risk-limiting audits use the size of this margin to determine how much post-election auditing is required. We present an efficient branch-and-bound algorithm for computing exact margins that substantially improves on the current best-known approach. Although exponential in the worst case, our algorithm runs efficiently in practice, computing margins in instances that could not be solved by the current state-of-the-art in a reasonable time frame.
Original language | English |
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Title of host publication | Frontiers in Artificial Intelligence and Applications |
Subtitle of host publication | ECAI 2016 - 22nd European Conference on Artificial Intelligence 29 August–2 September 2016, The Hague, The Netherlands |
Editors | Gal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hullermeier, Virginia Dignum, Frank Dignum, Frank van Harmelen |
Place of Publication | Amsterdam Netherlands |
Publisher | IOS Press |
Pages | 480-488 |
Number of pages | 9 |
ISBN (Electronic) | 9781614996729 |
ISBN (Print) | 9781614996712 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | European Conference on Artificial Intelligence 2016 - The Hague, Netherlands Duration: 29 Aug 2016 → 2 Sep 2016 Conference number: 22nd http://www.ecai2016.org/ |
Publication series
Name | Frontiers in Artificial Intelligence and Applications |
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Volume | 285 |
ISSN (Print) | 0922-6389 |
Conference
Conference | European Conference on Artificial Intelligence 2016 |
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Abbreviated title | ECAI 2016 |
Country | Netherlands |
City | The Hague |
Period | 29/08/16 → 2/09/16 |
Internet address |