# lns
2025 / Operation Parallelism in Large Neighborhood Search for Anytime Multi-Agent Path Finding
Chan, S.-H., Chen, Z., Lin, D.-L., Zhang, Y., Harabor, D., Koenig, S., Huang, T.-W., & Phan, T. (2025). Operation Parallelism in Large Neighborhood Search for Anytime Multi-Agent Path Finding. IEEE International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2025, Singapore, December 4-5, 2025, 1–7. https://doi.org/10.1109/MRS66243.2025.113572532024 / Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
Chan, S.-H., Chen, Z., Lin, D.-L., Zhang, Y., Harabor, D., Koenig, S., Huang, T.-W., & Phan, T. (2024). Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. In M. Dastani, J. S. Sichman, N. Alechina, & V. Dignum (Eds.), Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, May 6-10, 2024 (pp. 2183–2185). International Foundation for Autonomous Agents. https://doi.org/10.5555/3635637.36631012023 / Exact Anytime Multi-Agent Path Finding Using Branch-and-Cut-and-Price and Large Neighborhood Search
Lam, E., Harabor, D. D., Stuckey, P. J., & Li, J. (2023). Exact Anytime Multi-Agent Path Finding Using Branch-and-Cut-and-Price and Large Neighborhood Search. In S. Koenig, R. Stern, & M. Vallati (Eds.), Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, July 8-13, 2023, Prague, Czech Republic (pp. 254–258). AAAI Press. https://doi.org/10.1609/ICAPS.V33I1.272022022 / MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search
Li, J., Chen, Z., Harabor, D., Stuckey, P. J., & Koenig, S. (2022). MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search. Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 10256–10265. https://doi.org/10.1609/AAAI.V36I9.212662021 / Anytime Multi-Agent Path Finding via Large Neighborhood Search
Li, J., Chen, Z., Harabor, D., Stuckey, P. J., & Koenig, S. (2021). Anytime Multi-Agent Path Finding via Large Neighborhood Search. In Z.-H. Zhou (Ed.), Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 (pp. 4127–4135). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2021/568