[6] LIU Q P, ZHANG J, XIN B, et al. Overview of task understanding of unmanned combat systems[C]//2019 3rd International Symposium on Autonomous Systems (ISAS). Shanghai: IEEE, 2019: 434-438.
[8] CHEN D L, MOONEY R. Learning to interpret natural language navigation instructions from observations[C]//Proceedings of the AAAI Conference on Artificial Intelligence. San Francisco: AAAI, 2011: 859-865.
[9] BRANAVAN S R K, CHEN H, ZETTLEMOYER L S, et al. Reinforcement learning for mapping instructions to actions[C]//Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. Singapore: [s.n.], 2009: 82-90.
[26] FUJITA S, MASUKAWA M, TAGASHIRA S. A fast branch-and-bound algorithm with an improved lower bound for solving the multiprocessor scheduling problem[C]//Ninth International Conference on Parallel and Distributed Systems. Taipei: IEEE, 2002: 611-616.
[28] LEVCHUK G M, LEVCHUK Y N, PATTIPATI K R, et al. Mapping flows onto networks to optimize organizational processes[C]//Proceedings of the 7th Command & Control Research & Technology Symposium.[S.l.]: [s.n.], 2002: 11-14.
[31] SHU Z, WANG W P, WANG R. Design of an optimized architecture for manned and unmanned combat system-of-systems: formulation and coevolutionary optimization[J]. IEEE Access, 2018, 6: 52725-52740.
[34] BAKOLAS E, LEE Y. Decentralized game-theoretic control for dynamic task allocation problems for multi-agent systems[C]//2021 American Control Conference (ACC). New Orleans: IEEE, 2021: 3228-3233.
[35] WANG J S, WANG J, HAN Q L. Multivehicle task assignment based on collaborative neurodynamic optimization with discrete Hopfield networks[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(12): 5274-5286.
[39] YANG Z R, BAI L T, CHE K, et al. Collaborative task allocation for multi-UAV based on genetic algorithm[C]//China Aeronautical Science and Technology Conference. Singapore: Springer, 2023: 35-46.
[40] KIM M H, BAIK H, LEE S. Response threshold model based UAV search planning and task allocation[J]. Journal of Intelligent & Robotic Systems, 2014, 75: 625-640.
[41] WU H, LI H, XIAO R, et al. Modeling and simulation of dynamic ant colony's labor division for task allocation of UAV swarm[J]. Physica A: Statistical Mechanics and its Applications, 2018, 491: 127-141.
[44] HUANG Q, MA X M, LIU K, et al. Autonomous reconnaissance action of swarm unmanned system driven by behavior tree[C]//2022 IEEE International Conference on Unmanned Systems (ICUS). Guangzhou: IEEE, 2022: 1540-1544.
[51] SURDU J R, KITTKA K. Deep green: commander's tool for COA's concept[J]. Computing, Communications and Control Technologies, 2008, 34(8): 45-51.
[52] DARR T P, BENJAMIN P, MAYER R. Course of action planning ontology[C]//Ontology for the Intelligence Community Conference (OIC 2009). Fairfax: George Mason University, 2009: 17135422.
[68] SUN X T, HU Y, QIN Y C, et al. Risk assessment of unmanned aerial vehicle accidents based on data-driven Bayesian networks[J]. Reliability Engineering & System Safety, 2024, 248: 110185.