1 |
Terelius, H., Topcu, U., & Murray, R. M. (2011). Decentralized multi-agent optimization via dual decomposition. IFAC proceedings volumes, 44(1), 11245-11251.
DOI
|
2 |
Bai, X., Yan, W., Ge, S. S., & Cao, M. (2018). An integrated multi-population genetic algorithm for multi-vehicle task assignment in a drift field. Information Sciences, 453, 227-238.
DOI
|
3 |
Conforti, M., & Cornuejols, G. (1984). Submodular set functions, matroids and the greedy algorithm: tight worst-case bounds and some generalizations of the Rado-Edmonds theorem. Discrete applied mathematics, 7(3), 251-274.
DOI
|
4 |
Degas, A., Kaddoum, E., Gleizes, M. P., Adreit, F., & Rantrua, A. (2021). Cooperative multi-agent model for collision avoidance applied to air traffic management. Engineering Applications of Artificial Intelligence, 102, 104286.
DOI
|
5 |
Douma, A. M., van Hillegersberg, J., & Schuur, P. C. (2012). Design and evaluation of a simulation game to introduce a multi-agent system for barge handling in a seaport. Decision support systems, 53(3), 465-472.
DOI
|
6 |
Fisher, M. L., Nemhauser, G. L., & Wolsey, L. A. (1978). An analysis of approximations for maximizing submodular set functions-II. Berlin, Heidelberg. Polyhedral combinatorics, pp. 73-87.
|
7 |
Heilig, L., Lalla-Ruiz, E., & Voss, S. (2017). port-IO: an integrative mobile cloud platform for real-time inter-terminal truck routing optimization. Flexible Services and Manufacturing Journal, 29(3), 504-534.
DOI
|
8 |
Isler, V., & Bajcsy, R. (2005, April). The sensor selection problem for bounded uncertainty sensing models. In IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005. pp. 151-158.
|
9 |
Jeong, H. Y., David, J. Y., Min, B. C., & Lee, S. (2020). The humanitarian flying warehouse. Transportation research part E: logistics and transportation review, 136, 101901.
DOI
|
10 |
Lee, J.H. & Shin M.I (2016), Stochastic Weapon Target Assignment Problem under Uncertainty in Targeting Accuracy, The Korean Operations Research and Management Science Society, 41(3), 23-36.
|
11 |
Pollanen, R., Toivonen, H., Perajarvi, K., Karhunen, T., Ilander, T., Lehtinen, J., … & Juusela, M. (2009). Radiation surveillance using an unmanned aerial vehicle. Applied radiation and isotopes, 67(2), 340-344.
DOI
|
12 |
Le Thi, H. A., Nguyen, D. M., & Dinh, T. P. (2012). Globally solving a nonlinear UAV task assignment problem by stochastic and deterministic optimization approaches. Optimization Letters, 6(2), 315-329.
DOI
|
13 |
Li, J. J., Zhang, R. B., & Yang, Y. (2015). Meta-heuristic ant colony algorithm for multi-tasking assignment on collaborative AUVs. International Journal of Grid and Distributed Computing, 8(3), 135-144.
DOI
|
14 |
Nemhauser, G. L., Wolsey, L. A., & Fisher, M. L. (1978). An analysis of approximations for maximizing submodular set functions-I. Mathematical programming, 14(1), 265-294.
DOI
|
15 |
Qu, G., Brown, D., & Li, N. (2019). Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions. Automatica, 105, 206-215.
DOI
|
16 |
Yun, Y.S. & Chuluunsukh, A. (2019). Green Supply Chain Network Model: Genetic Algorithm Approach. Journal of the Korea Industrial Information Systems Research, 24(3), 31-38.
DOI
|
17 |
Sun, X., Cassandras, C. G., & Meng, X. (2017, December). A submodularity-based approach for multi-agent optimal coverage problems. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pp. 4082-4087.
|
18 |
Wu, J., Yuan, S., Ji, S., Zhou, G., Wang, Y., & Wang, Z. (2010). Multi-agent system design and evaluation for collaborative wireless sensor network in large structure health monitoring. Expert Systems with Applications, 37(3), 2028-2036.
DOI
|
19 |
Yuan, D., Xu, S., & Zhao, H. (2011). Distributed primal-dual subgradient method for multiagent optimization via consensus algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 41(6), 1715-1724.
DOI
|
20 |
Jung, J.J. (2007). Applying CSP techniques to automated scheduling with agents in distributed environment. Journal of the Korea Industrial Information Systems Research, 12(1), 87-94.
|