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matlab遗传算法无人机问题,基于改进遗传算法的无人机路径规划

發布時間:2025/3/19 循环神经网络 28 豆豆
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[1] 楊陸強, 果霖, 朱加繁, 等. 我國農用無人機發展概況與展望[J]. 農機化研究,2017,39(8):6-11.(YANG L Q,GUO L, ZHU J F, et al. The development situation and prospect of agricultural UAV in China[J]. Journal of Agricultural Mechanization Research,2017,39(8):6-11.)

[2] 祁玄玄, 黃家駿, 曹建安. 基于改進A*算法的無人車路徑規劃[J/OL]. 計算機應用[2020-06-11]. http://kns.cnki.net/kcms/detail/51.1307.TP.20200521.1551.006.html. (QI X X, HUANG J J,CAO J A. Autonomous vehicle path planning based on improved A* algorithm[J/OL]. Journal of Computer Applications[2020-06-11]. http://kns.cnki.net/kcms/detail/51.1307.TP.20200521.1551.006.html.)

[3] MAINI P,YU K,SUJIT P B,et al. Persistent monitoring with refueling on a terrain using a team of aerial and ground robots[C]//Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway:IEEE,2018:8493-8498.

[4] 劉生偉, 馬鉞, 孟樹峰, 等. 改進A*算法的AGV路徑規劃[J]. 計算機應用,2019,39(S2):41-44.(LIU S W,MA Y,MENG S F, et al. Improved A* algorithm for path planning of AGV[J]. Journal of Computer Applications,2019,39(S2):41-44.)

[5] 薄寧, 李相民, 代進進, 等. 基于變步長稀疏A*搜索和MPC的多無人機層次化協同航跡規劃[J]. 指揮控制與仿真,2018,40(2):65-71. (BO N,LI X M,DAI J J,et al. A hierarchical optimization strategy of trajectory planning based on variable step size SAS and MPC for UAVs[J]. Command Control and Simulation,2018,40(2):65-71.)

[6] 成怡, 王赟, 修春波. 一種改進RRT算法在路徑規劃中的應用研究[J]. 控制工程,2020,27(3):567-571.(CHENG Y,WANG Y,XIU C B. Application research of an improved RRT algorithm in path planning[J]. Control Engineering of China,2020,27(3):567-571.)

[7] 譚建豪, 肖友倫, 劉力銘, 等. 改進PRM算法的無人機航跡規劃[J]. 傳感器與微系統,2020,39(1):38-41.(TAN J H,XIAO Y L,LIU L M,et al. UAV trajectory planning with improved PRM algorithm[J]. Sensors and Microsystems,2020,39(1):38-41.)

[8] KALISIAK M,VAN DE PANNE M. RRT-blossom:RRT with a local flood-fill behavior[C]//Proceedings of the 2006 IEEE International Conference on Robotics and Automation. Piscataway:IEEE,2006:1237-1242.

[9] JIMéNEZ-FRANCO L D, KLETTING P, BEER A J, et al. Treatment planning algorithm for PRRT considering multiple tumor lesions and organs at risk[J]. Medical Physics,2018,45(8):3516-3523.

[10] 宋彥, 張羊陽, 姚琦, 等. 基于啟發式動態規劃的履帶機器人路徑跟隨控制方法[J]. 農業機械學報,2019,50(11):24-33. (SONG Y,ZHANG Y Y,YAO Q,et al. Path following control method of tracked mobile robot based on heuristic dynamic programming[J]. Transactions of the Chinese Society of Agricultural Machinery,2019,50(11):24-33.)

[11] BABAIE O, NASR ESFAHANY M. Optimization and heat integration of hybrid R-HIDiC and pervaporation by combining GA and PSO algorithm in TAME synthesis[J]. Separation and Purification Technology,2020,236:No. 116288.

[12] BURCHARDT H,SALOMON R. Implementation of path planning using genetic algorithms on mobile robots[C]//Proceedings of the 2006 IEEE Congress on Evolutionary Computation. Piscataway:IEEE,2006:1831-1836.

[13] 宋宇, 王志明. 基于改進遺傳算法的移動機器人路徑規劃[J]. 現代電子技術,2019,42(24):172-175.(SONG Y,WANG Z M. Path planning of mobile robot based on improved genetic algorithm[J]. Modern Electronics Technique,2019,42(24):172-175.)

[14] BESADA-PORTAS E,DE LA TORRE L,DE LA CRUZ J M,et al. Evolutionary trajectory planner for multiple UAVs in realistic scenarios[J]. IEEE Transactions on Robotics,2010,26(4):619-634.

[15] VOLKAN PEHLIVANOGLU Y. A new vibrational genetic algorithm enhanced with a Voronoi diagram for path planning of autonomous UAV[J]. Aerospace Science and Technology,2012, 16(1):47-55.

[16] VOLKAN PEHLIVANOGLU Y,BAYSAL O,HACIOGLU A. Path planning for autonomous UAV via vibrational genetic algorithm[J]. Aircraft Engineering and Aerospace Technology, 2007,79(4):352-359.

[17] YANG Q,YOO S J. Optimal UAV path planning:sensing data acquisition over IoT sensor networks using multi-objective bioinspired algorithms[J]. IEEE Access,2018,6:13671-13684.

[18] BEHROOZ K. A crossover operator for improving the efficiency of permutation-based genetic algorithms[J]. Expert Systems with Applications,2020,151:113381.

[19] QI Z,SHAO Z,PING Y S,et al. An improved heuristic algorithm for UAV path planning in 3D environment[C]//Proceedings of the 2nd Intelligent Human-Machine Systems and Cybernetics. Piscataway:IEEE,2010:258-261.

[20] 于洋, 周佳偉, 馮迎賓, 等. 基于三次B樣條曲線的無人車軌跡優化方法研究[J]. 沈陽理工大學學報,2019,38(5):71-75. (YU Y,ZHOU J W,FENG Y B,et al. Research on trajectory optimization of unmanned vehicle based on cubic B-spline interpolation[J]. Journal of Shenyang Ligong University,2019,38(5):71-75.)

[21] 邱柳欽. 改進遺傳算法在MF-TDMA資源規劃中的研究[J]. 通信技術,2013,46(4):117-120.(QIU L Q. Improved genetic algorithm in MF-TDMA resource allocation[J]. Communications Technology,2013,46(4):117-120.)

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