@inproceedings{22bdd2d7604643799601c431d6e8ce83,
title = "Solving the snake in the box problem with heuristic search: First results",
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.",
author = "Alon Palombo and Roni Stern and Rami Puzis and Ariel Felner and Scott Kiesel and Wheeler Ruml",
note = "Publisher Copyright: Copyright {\textcopyright} 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 8th Annual Symposium on Combinatorial Search, SoCS 2015 ; Conference date: 11-06-2015 Through 13-06-2015",
year = "2015",
month = jan,
day = "1",
language = "English",
series = "Proceedings of the 8th Annual Symposium on Combinatorial Search, SoCS 2015",
publisher = "AAAI press",
pages = "96--104",
editor = "Levi Lelis and Roni Stern",
booktitle = "Proceedings of the 8th Annual Symposium on Combinatorial Search, SoCS 2015",
}