Backjump-based Backtracking for Constraint Satisfaction Problems (2002)
| Venue: | Artificial Intelligence |
| Citations: | 30 - 2 self |
BibTeX
@ARTICLE{Dechter02backjump-basedbacktracking,
author = {Rina Dechter and Daniel Frost},
title = {Backjump-based Backtracking for Constraint Satisfaction Problems},
journal = {Artificial Intelligence},
year = {2002},
volume = {136},
pages = {2002}
}
Years of Citing Articles
OpenURL
Abstract
The performance of backtracking algorithms for solving finite-domain constraint satisfaction problems can be improved substantially by look-back and look-ahead methods. Look-back techniques extract information by analyzing failing search paths that are terminated by dead-ends. Look-ahead techniques use constraint propagation algorithms to avoid such dead-ends altogether. This survey describes a number of look-back variants including backjumping and constraint recording which recognize and avoid some unnecessary explorations of the search space. The last portion of the paper gives an overview of look-ahead methods such as forward checking and dynamic variable ordering, and discusses their combination with backjumping.







