NuMDS: An Efficient Local Search Algorithm for Minimum Dominating Set Problem
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 8966-8976.
https://doi.org/10.24963/ijcai.2025/997
Keywords
- Search: S: Combinatorial search and optimisation
Abstract
The minimum dominating set (MDS) problem is a crucial NP-hard combinatorial optimization problem with wide applications in real-world scenarios. In this paper, we propose an efficient local search algorithm namely NuMDS to solve the MDS, which comprises three key ideas. First, we introduce a dominate propagation-based reduction method that fixes a portion of vertices in a given graph. Second, we develop a novel two-phase initialization method based on the decomposition method. Third, we propose a multi-stage local search procedure, which adopts three different search manners according to the current stage of the search. We conduct extensive experiments to demonstrate the outstanding effectiveness of NuMDS, and the results clearly indicate that NuMDS outperforms previous state-of-the-art algorithms on almost all instances.
@inproceedings{ijcai2025p997,
title = {NuMDS: An Efficient Local Search Algorithm for Minimum Dominating Set Problem},
author = {Sun, Rui and Liu, Zhaohui and Wang, Yiyuan and Xiao, Han and Li, Jiangnan and Chen, Jiejiang},
booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-25}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {James Kwok},
pages = {8966--8976},
year = {2025},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2025/997},
url = {https://doi.org/10.24963/ijcai.2025/997},
}
TY - CPAPER TI - NuMDS: An Efficient Local Search Algorithm for Minimum Dominating Set Problem AU - Sun, Rui AU - Liu, Zhaohui AU - Wang, Yiyuan AU - Xiao, Han AU - Li, Jiangnan AU - Chen, Jiejiang T2 - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2025 SP - 8966 EP - 8976 DO - 10.24963/ijcai.2025/997 UR - https://doi.org/10.24963/ijcai.2025/997 ER -Copied
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