Distributed Constraint Optimization Problems Related with Soft Arc Consistency
Abstract
Distributed Constraint Optimization Problems (DCOPs) can be optimally solved by distributed search algorithms, such as ADOPT and BnB-ADOPT. In centralized solving, maintaining soft arc consistency during search has proved to be beneficial for performance. In this thesis we aim to explore the maintenance of different levels of soft arc consistency in distributed search when solving DCOPs.
Cite
Text
Gutierrez and Meseguer. "Distributed Constraint Optimization Problems Related with Soft Arc Consistency." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-478Markdown
[Gutierrez and Meseguer. "Distributed Constraint Optimization Problems Related with Soft Arc Consistency." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/gutierrez2011ijcai-distributed/) doi:10.5591/978-1-57735-516-8/IJCAI11-478BibTeX
@inproceedings{gutierrez2011ijcai-distributed,
title = {{Distributed Constraint Optimization Problems Related with Soft Arc Consistency}},
author = {Gutierrez, Patricia and Meseguer, Pedro},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2011},
pages = {2812-2813},
doi = {10.5591/978-1-57735-516-8/IJCAI11-478},
url = {https://mlanthology.org/ijcai/2011/gutierrez2011ijcai-distributed/}
}