Chamberlin-Courant Rule with Approval Ballots: Approximating the MaxCover Problem with Bounded Frequencies in FPT Time
Abstract
We consider the problem of winner determination under Chamberlin--Courant's multiwinner voting rule with approval utilities. This problem is equivalent to the well-known NP-complete MaxCover problem and, so, the best polynomial-time approximation algorithm for it has approximation ratio 1 - 1/e. We show exponential-time/FPT approximation algorithms that, on one hand, achieve arbitrarily good approximation ratios and, on the other hand, have running times much better than known exact algorithms. We focus on the cases where the voters have to approve of at most/at least a given number of candidates.
Cite
Text
Skowron and Faliszewski. "Chamberlin-Courant Rule with Approval Ballots: Approximating the MaxCover Problem with Bounded Frequencies in FPT Time." Journal of Artificial Intelligence Research, 2017. doi:10.1613/JAIR.5628Markdown
[Skowron and Faliszewski. "Chamberlin-Courant Rule with Approval Ballots: Approximating the MaxCover Problem with Bounded Frequencies in FPT Time." Journal of Artificial Intelligence Research, 2017.](https://mlanthology.org/jair/2017/skowron2017jair-chamberlincourant/) doi:10.1613/JAIR.5628BibTeX
@article{skowron2017jair-chamberlincourant,
title = {{Chamberlin-Courant Rule with Approval Ballots: Approximating the MaxCover Problem with Bounded Frequencies in FPT Time}},
author = {Skowron, Piotr and Faliszewski, Piotr},
journal = {Journal of Artificial Intelligence Research},
year = {2017},
pages = {687-716},
doi = {10.1613/JAIR.5628},
volume = {60},
url = {https://mlanthology.org/jair/2017/skowron2017jair-chamberlincourant/}
}