Local Search with Constraint Propagation and Conflict-Based Heuristics
Abstract
In this paper, we introduce a new solving algorithm for Constraint Satisfaction Problems (CSP). It performs an overall local search together with a domain filtering technique to prune the search space. Conflicts detected during filtering are used to guide the search. First experiments with a tabu version of the algorithm have shown good results on hard instances of open shop scheduling problems. It competes well with the best highly specialized algorithms.
Cite
Text
Jussien and Lhomme. "Local Search with Constraint Propagation and Conflict-Based Heuristics." AAAI Conference on Artificial Intelligence, 2000.Markdown
[Jussien and Lhomme. "Local Search with Constraint Propagation and Conflict-Based Heuristics." AAAI Conference on Artificial Intelligence, 2000.](https://mlanthology.org/aaai/2000/jussien2000aaai-local/)BibTeX
@inproceedings{jussien2000aaai-local,
title = {{Local Search with Constraint Propagation and Conflict-Based Heuristics}},
author = {Jussien, Narendra and Lhomme, Olivier},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2000},
pages = {169-174},
url = {https://mlanthology.org/aaai/2000/jussien2000aaai-local/}
}