Abstract
Snake in the Box (SIB) is the problem of finding the longest simple path along the edges of an n-dimensional cube, subject to certain constraints. SIB has important applications in coding theory and communications. State of the art algorithms for solving SIB apply uninformed search with symmetry breaking techniques. We formalize this problem as a search problem and propose several admissible heuristics to solve it. Using the proposed heuristics is shown to have a huge impact on the number of nodes expanded and, in some configurations, on runtime. These results encourage further research in using heuristic search to solve SIB, and to solve maximization problems more generally.
Original language | English |
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Title of host publication | Proceedings of the 8th Annual Symposium on Combinatorial Search, SoCS 2015 |
Editors | Levi Lelis, Roni Stern |
Publisher | AAAI press |
Pages | 96-104 |
Number of pages | 9 |
ISBN (Electronic) | 9781577357322 |
State | Published - 2015 |
Externally published | Yes |
Event | 8th Annual Symposium on Combinatorial Search, SoCS 2015 - Ein Gedi, Israel Duration: 11 Jun 2015 → 13 Jun 2015 |
Publication series
Name | Proceedings of the 8th Annual Symposium on Combinatorial Search, SoCS 2015 |
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Volume | 2015-January |
Conference
Conference | 8th Annual Symposium on Combinatorial Search, SoCS 2015 |
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Country/Territory | Israel |
City | Ein Gedi |
Period | 11/06/15 → 13/06/15 |
Bibliographical note
Publisher Copyright:Copyright © 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funding
This research was supported by the Israel Science Foundation (ISF) under grant #417/13 to Ariel Felner and by the US NSF under grant #1150068 to Wheeler Ruml.
Funders | Funder number |
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National Science Foundation | 1150068 |
Israel Science Foundation | 417/13 |