Open Access
| Issue |
JNWPU
Volume 44, Number 1, February 2026
|
|
|---|---|---|
| Page(s) | 102 - 111 | |
| DOI | https://doi.org/10.1051/jnwpu/20264410102 | |
| Published online | 27 April 2026 | |
- Liang Zibin, Li Qing, Fu Guodong. Multi-UAV collaborative search and attack mission decision-making in unknown environments[J]. Sensors, 2023, 23(17): 7398–7418 [Article] [Google Scholar]
- Wang Xinyao, Cao Yunfeng, Sun Houjun, et al. Modeling for cooperative combat system architecture of manned/unmanned aerial vehicle based on DoDAF[J]. Systems Engineering and Electronics, 2020, 42(10): 2265–2274 (in Chinese) [Google Scholar]
- Cramer Martijn, Kellens Karel, Demeester Eric. Probabilistic decision model for adaptive task planning in human-robot collaborative assembly based on designer and operator intents[J]. IEEE Robotics and Automation Letters, 2021, 6(4): 7325–7332 [Article] [Google Scholar]
- Ye Wen. Mission planning for unmanned aerial vehicles[M]. Beijing: National Defense Industry Press, 2015 (in Chinese) [Google Scholar]
- Keller J. DARPA adds two companies to OFFSET swarm reconnaissance drone research project[J]. Military & Aerospace Electronics, 2018, 29(4): 30–31 [Google Scholar]
- Khamis A, Hussein A, Ehnogy A. Multi-robot task allocation: a review of the state-of-the-art[J]. Studies in Computational Intelligence, 2015, 604: 31–51 [Google Scholar]
- Ni Yao, Zhou Deyun, Ma Yunhong, et al. The air-to-ground tasks assignment for multi-UAV based mixed integer linear programming[J]. Fire Control & Command Control, 2008, 33(11): 62–65 (in Chinese) [Google Scholar]
- Xue Yang, Wang Jiesheng. Application of improved ant colony optimization algorithm on traveling salesman problem[C]//Chinese Control and Decision Conference, Yinchuan, China, 2016: 2156–2160. [Google Scholar]
- Reinelt Gerhard. The traveling salesman: computational solutions for TSP applications[M]. Berlin: Springer-Verlag, 1994 [Google Scholar]
- Fang Ye, Jie Chen, Yuan Tian, et al. Cooperative multiple task assignment of heterogeneous UAVs using a modified genetic algorithm with multi-type-gene chromosome encoding strategy[J]. Journal of Intelligent & Robotic Systems, 2020, 100(2): 1–13 [Google Scholar]
- Bai Xiaoshan, Li Chang, Zhang Bo, et al. Efficient performance impact algorithms for multirobot task assignment with deadlines[J]. IEEE Trans on Industrial Electronics, 2024, 71: 14373–14382 [Article] [Google Scholar]
- Bi Wenhao, Zhang Mengqi, Gao Fei, et al. Review on UAV swarm task allocation technology[J]. Systems Engineering and Electronics, 2024, 46(3): 922–934 (in Chinese) [Google Scholar]
- Hu Jiawei, Jia Zequn, Sun Yantao, et al. Survey of analysis and solutions for multi-UAV cooperative mission planning problem under multi-constraint conditions[J]. Computer Science, 2023, 50(7): 176–193 (in Chinese) [Google Scholar]
- Mao Yingchi, Mu Chao, Bao Wei, et al. Multi-type task assignment and scheduling oriented to spatial crowdsourcing[J]. Journal of Computer Applications, 2018, 38(1): 6–12 (in Chinese) [Google Scholar]
- Bai Xiaoshan, Yan Weisheng, Ge Shuzhi Sam. Efficient task assignment for multiple vehicles with partially unreachable target locations[J]. IEEE Internet of Things Journal, 2021, 8(5): 3730–3742 [Article] [Google Scholar]
- Seyyedabbasi Amir, Kiani Farzad. Sand cat swarm optimization: a nature-inspired algorithm to solve global optimization problems[J]. Engineering with Computers, 2022, 39(4): 2627–2651 [Google Scholar]
- Hu Kun, Mo Yuanbin. Hybrid sand cat algorithm for solving dynamic optimization problems in chemical engineering[J]. Chemical Engineering, 2024, 52(5): 85–90 (in Chinese) [Google Scholar]
- Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Oluwaseun Racheal Ojekemiet al.. DGS-SCSO: enhancing sand cat swarm optimization with dynamic pinhole imaging and golden sine algorithm for improved numerical optimization performance[J]. Scientific Reports, 2024, 14(1): 1491 [Article] [Google Scholar]
- Zhan Yue, Jiang Zhaoqin, Liu Zhenyuan. Optimization model and revised adaptive large neighbourhood search algorithm for multi-structured on-site service scheduling problem[J]. Control and Decision, 2024, 39(3): 947–955 (in Chinese) [Google Scholar]
- Bai Xiaoshan, She Anqi, Zheng Xinquan, et al. Task assignment for multiple USVs and AUVs based on improved minimum marginal cost algorithm[J]. Control and Decision, 2025, 40(1): 119–127 (in Chinese) [Google Scholar]
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