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·582· 智能系统学报 第16卷 划研究综述[.智能系统学报,2020,15(2)204-217. [8]曹建秋,张广言,徐鹏.A*初始化的变异灰狼优化的无人 QI Xiaogang,LI Bo,FAN YingSheng,et al.A survey of 机路径规划[J/OL].计算机工程与应用:1-12 mission planning on UAV system based on multi-con- [2021-06-16]http://kns.cnki.net/kcms/detail/11.2127.TP.20201225 straints[J].CAAI transactions on intelligent systems,2020, 0932.014.html. 15(2):204-217. CAO Jiangiu,ZHANG Guangyan,XU Peng.A*initializa- [2]张松灿,普杰信,司彦娜,等.蚁群算法在移动机器人路 tion of varitated gray wolf optimized UAV path plann- 径规划中的应用综述[】.计算机工程与应用,2020, ing[J/OL].Computer engineering and applications:1-12. 56(8):10-19 [2021-06-16]http://kns.cnki.net/kcms/detail/11.2127. ZHANG Songcan,PU Jiexin,SI Yanna,et al.Survey on TP.20201225.0932.014.html application of ant colony algorithm in path planning of mo- [9]莫宏伟,马靖雯.基于蚁群算法的四旋翼航迹规划).智 bile robot[J].Computer engineering and applications, 能系统学报,201611(2):216-225. 2020,56(8):10-19 MO Hongwei,MA Jingwen.Four-rotor route planning [3]鲁亚飞,吴岸平,陈清阳.无人机对地目标多帧融合定位 based on the ant colony algorithm[J].CAAI transactions on 与误差收敛特性分析J].国防科技大学学报,2021, intelligent systems,2016,11(2):216-225. 43(2):66-73. [10]魏永超,邓岚,李涛,等.采用改进细菌觅食优化算法的 LU Yafei,WU Anping,CHEN Qingyang.Multi frame fu- 无人机航迹规划).电讯技术,2021,61(5):560-566. sion positioning and error convergence analysis of UAV to WEI Yongchao,DENG Lan,LI Tao,et al.UAV track ground target[J].Journal of National University of De- planning with improved bacterial foraging optimization fense Science and Technology,2021,43(2):66-73. algorithm[J].Telecommunication engineering,2021, [4]李坎,李云鹏,赵江波.无人机集群自组织搜索仿真模型 61(5:560-566. 设计与实现[J/0L].系统仿真学报:1-14.[2021-06-16] [11]赵红超,周洪庆,王书湖.无人机三维航迹规划的量子 http://kns.cnki.net/kcms/detail/11.3092.V.20210602.1421.0 粒子群优化算法).航天控制,2021,391):40-45 04.html. ZHAO Hongchao,ZHOU Hongqing,WANG Shuhu. LI Kan,LI Yunpeng,ZHAO Jiangbo.Design and imple- Quantum particle swarm optimization algorithm of three- mentation of UAV swarm self-organizing search model[J/OL]. dimensional path planning of unmanned aerial vehicle[J]. Journal of system simulation:1-14.[2020-06-16] Aerospace control,2021,39(1):40-45. http://kns.cnki.net/kcms/detail/11.3092.V.20210602.1421. [12]MONTGOMERY J,RANDALL M.Anti-pheromone as a 004.html tool for better exploration of search space[C]//Proceed- [5]辛建霖,左家亮,岳龙飞,等.基于改进启发式蚁群算法 ings of the 3rd International Workshop on Ant Al- 的无人机自主航迹规划[J/OL].航空工程进展:1-8 gorithms.Brussels,Belgium:Springer,2002. [2021-06-16]http://kns.cnki.net/kems/detail/61.1479.V. [13]王祝,徐广通,龙腾.基于定制内点法的多无人机协同轨 20210524.1220.010.html 迹规划[J/OL].自动化学报:1-12[2021-07-12]htps:∥ XIN Jianlin,ZUO Jialiang,YUE Longfei,et al.Autonom- doi.org/10.16383j.aas.c200361 ous path planning for unmanned aerial vehicle based on WANG Zhu,XU Guangtong,LONG Teng.Multi-UAV improved heuristic ant colony algorithm[J/OL].Advances collaborative trajectory planning based on the custom in- in aeronautical science and engineering:1-8. point method[J/OL].Journal of automation:1-12 [2021-06-16]http://kns.cnki.net/kcms/detail/61.1479.V.20210524. [2021-07-12]https:/ldoi.org10.16383j.aas.c200361. 1220.010.html. [14]吴莹莹,丁肇红,刘华平,等.面向环境探测的多智能体 [6]樊娇,雷涛,韩伟,等.无人机航迹规划技术研究综述) 自组织目标搜索算法.智能系统学报,2020,15(2): 郑州大学学报(工学版),2021,42(3):39-46 289-295. FAN Jiao,LEI Tao,HAN Wei,et al.A survey of UAV WU Yingying,DING Zhaohong,LIU Huaping,et al. path planning[J].Journal of Zhengzhou University (engin- Self-organizing target search algorithm of multi-agent eering science).2021,42(3):39-46. system for envi-ronment detection[J].CAAI transactions [7]裴振兵,陈雪.波改进蚁群算法及其在机器人避障中的 on intelligent systems,2020,15(2):289-295. 应用).智能系统学报,2015,10(1):90-96. [15]杜永浩,邢立宁,蔡昭权.无人飞行器集群智能调度技 PEI Zhenbing,CHEN Xuebo.Improved ant colony al- 术综述).自动化学报,2020,46(2):222-241 gorithm and its application in obstacle avoidance for DU Yonghao,XING Lining,CAI Zhaoquan.Survey on robot[J].CAAl transactions on intelligent systems,2015, intelligent scheduling technologies for unmanned flying 10(1):90-96. craft clusters[J].Acta automatica sinica,2020,46(2):划研究综述 [J]. 智能系统学报, 2020, 15(2): 204–217. QI Xiaogang, LI Bo, FAN YingSheng, et al. A survey of mission planning on UAV system based on multi-con￾straints[J]. CAAI transactions on intelligent systems, 2020, 15(2): 204–217. 张松灿, 普杰信, 司彦娜, 等. 蚁群算法在移动机器人路 径规划中的应用综述 [J]. 计算机工程与应用, 2020, 56(8): 10–19. ZHANG Songcan, PU Jiexin, SI Yanna, et al. Survey on application of ant colony algorithm in path planning of mo￾bile robot[J]. Computer engineering and applications, 2020, 56(8): 10–19. [2] 鲁亚飞, 吴岸平, 陈清阳. 无人机对地目标多帧融合定位 与误差收敛特性分析 [J]. 国防科技大学学报, 2021, 43(2): 66–73. LU Yafei, WU Anping, CHEN Qingyang. Multi frame fu￾sion positioning and error convergence analysis of UAV to ground target[J]. Journal of National University of De￾fense Science and Technology, 2021, 43(2): 66–73. [3] 李坎, 李云鹏, 赵江波. 无人机集群自组织搜索仿真模型 设计与实现 [J/OL]. 系统仿真学报: 1−14. [2021−06−16] http://kns.cnki.net/kcms/detail/11.3092.V.20210602.1421.0 04.html. LI Kan, LI Yunpeng, ZHAO Jiangbo. Design and imple￾mentation of UAV swarm self-organizing search model[J/OL]. Journal of system simulation: 1−14. [2020−06−16] http://kns.cnki.net/kcms/detail/11.3092.V.20210602.1421. 004.html. [4] 辛建霖, 左家亮, 岳龙飞, 等. 基于改进启发式蚁群算法 的无人机自主航迹规划 [J/OL]. 航空工程进展: 1−8. [2021−06−16] http://kns.cnki.net/kcms/detail/61.1479.V. 20210524.1220.010.html. XIN Jianlin, ZUO Jialiang, YUE Longfei, et al. Autonom￾ous path planning for unmanned aerial vehicle based on improved heuristic ant colony algorithm[J/OL]. Advances in aeronautical science and engineering: 1−8. [2021−06−16] http://kns.cnki.net/kcms/detail/61.1479.V.20210524. 1220.010.html. [5] 樊娇, 雷涛, 韩伟, 等. 无人机航迹规划技术研究综述 [J]. 郑州大学学报(工学版), 2021, 42(3): 39–46. FAN Jiao, LEI Tao, HAN Wei, et al. A survey of UAV path planning[J]. Journal of Zhengzhou University (engin￾eering science), 2021, 42(3): 39–46. [6] 裴振兵, 陈雪. 波改进蚁群算法及其在机器人避障中的 应用 [J]. 智能系统学报, 2015, 10(1): 90–96. PEI Zhenbing, CHEN Xuebo. Improved ant colony al￾gorithm and its application in obstacle avoidance for robot[J]. CAAI transactions on intelligent systems, 2015, 10(1): 90–96. [7] 曹建秋, 张广言, 徐鹏. A*初始化的变异灰狼优化的无人 机路径规划 [J/OL]. 计算机工程与应用: 1−12. [2021−06−16] http://kns.cnki.net/kcms/detail/11.2127.TP.20201225. 0932.014.html. CAO Jianqiu, ZHANG Guangyan, XU Peng. A* initializa￾tion of varitated gray wolf optimized UAV path plann￾ing[J/OL]. Computer engineering and applications: 1−12. [2021−06−16] http://kns.cnki.net/kcms/detail/11.2127. TP.20201225.0932.014.html. [8] 莫宏伟, 马靖雯. 基于蚁群算法的四旋翼航迹规划 [J]. 智 能系统学报, 2016, 11(2): 216–225. MO Hongwei, MA Jingwen. Four-rotor route planning based on the ant colony algorithm[J]. CAAI transactions on intelligent systems, 2016, 11(2): 216–225. [9] 魏永超, 邓岚, 李涛, 等. 采用改进细菌觅食优化算法的 无人机航迹规划 [J]. 电讯技术, 2021, 61(5): 560–566. WEI Yongchao, DENG Lan, LI Tao, et al. UAV track planning with improved bacterial foraging optimization algorithm[J]. Telecommunication engineering, 2021, 61(5): 560–566. [10] 赵红超, 周洪庆, 王书湖. 无人机三维航迹规划的量子 粒子群优化算法 [J]. 航天控制, 2021, 39(1): 40–45. ZHAO Hongchao, ZHOU Hongqing, WANG Shuhu. Quantum particle swarm optimization algorithm of three￾dimensional path planning of unmanned aerial vehicle[J]. Aerospace control, 2021, 39(1): 40–45. [11] MONTGOMERY J, RANDALL M. Anti-pheromone as a tool for better exploration of search space[C]//Proceed￾ings of the 3rd International Workshop on Ant Al￾gorithms. Brussels, Belgium: Springer, 2002. [12] 王祝,徐广通,龙腾.基于定制内点法的多无人机协同轨 迹规划 [J/OL].自动化学报:1−12[2021−07−12] https:// doi.org/10.16383/j.aas.c200361. WANG Zhu, XU Guangtong, LONG Teng. Multi-UAV collaborative trajectory planning based on the custom in￾point method[J/OL]. Journal of automation:1−12 [2021−07−12] https://doi.org/10.16383/j.aas.c200361. [13] 吴莹莹, 丁肇红, 刘华平, 等. 面向环境探测的多智能体 自组织目标搜索算法 [J]. 智能系统学报, 2020, 15(2): 289–295. WU Yingying, DING Zhaohong, LIU Huaping, et al. Self-organizing target search algorithm of multi-agent system for envi-ronment detection[J]. CAAI transactions on intelligent systems, 2020, 15(2): 289–295. [14] 杜永浩, 邢立宁, 蔡昭权. 无人飞行器集群智能调度技 术综述 [J]. 自动化学报, 2020, 46(2): 222–241. DU Yonghao, XING Lining, CAI Zhaoquan. Survey on intelligent scheduling technologies for unmanned flying craft clusters[J]. Acta automatica sinica, 2020, 46(2): [15] ·582· 智 能 系 统 学 报 第 16 卷
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