1. R. Stern, N. Sturtevant, A. Felner, S. Koenig, H. Ma, T. Walker, J. Li, D. Atzmon, L. Cohen, T. K. S. Kumar, E. Boyarski, and R. Bartak, “Multi-agent pathfinding: Definitions, variants, and benchmarks,” in Twelfth Annual Symposium on Combinatorial Search (SOCS), 2019.
2. Ma, H., Koenig, S., Ayanian, N., Cohen, L., Hoenig, W., Kumar, T. K. S., Uras, T., Xu, H., Tovey, C., & Sharon, G. (2016) “Overview: Generalizations of multi-agent path finding to real-world scenarios,” in Proceedings of the IJCAI-16 Workshop on Multi-Agent Path Finding.
3. Ho, F., Geraldes, R., Goncalves, A., Rigault, B., Sportich, B., Kubo, D., et al. (2020). Decentralized multi-agent path finding for UAV traffic management. IEEE Transactions on Intelligent Transportation Systems, 5, 1–12.
4. Montoya, J., Rathinam, S., & Wood, Z. (2014). Multiobjective departure runway scheduling using dynamic programming. IEEE Transactions on Intelligent Transportation Systems, 15(1), 399–413.
5. Tanabe, R., & Ishibuchi, H. (2020). An easy-to-use real-world multi-objective optimization problem suite. Applied Soft Computing, 89, 106078.