赞
踩
[1] 杨陆强, 果霖, 朱加繁, 等. 我国农用无人机发展概况与展望[J]. 农机化研究,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, 黄家骏, 曹建安. 基于改进A*算法的无人车路径规划[J/OL]. 计算机应用[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] 刘生伟, 马钺, 孟树峰, 等. 改进A*算法的AGV路径规划[J]. 计算机应用,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] 薄宁, 李相民, 代进进, 等. 基于变步长稀疏A*搜索和MPC的多无人机层次化协同航迹规划[J]. 指挥控制与仿真,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. 一种改进RRT算法在路径规划中的应用研究[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] 谭建豪, 肖友伦, 刘力铭, 等. 改进PRM算法的无人机航迹规划[J]. 传感器与微系统,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] 宋彦, 张羊阳, 姚琦, 等. 基于启发式动态规划的履带机器人路径跟随控制方法[J]. 农业机械学报,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. 基于改进遗传算法的移动机器人路径规划[J]. 现代电子技术,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, 周佳伟, 冯迎宾, 等. 基于三次B样条曲线的无人车轨迹优化方法研究[J]. 沈阳理工大学学报,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] 邱柳钦. 改进遗传算法在MF-TDMA资源规划中的研究[J]. 通信技术,2013,46(4):117-120.(QIU L Q. Improved genetic algorithm in MF-TDMA resource allocation[J]. Communications Technology,2013,46(4):117-120.)
Copyright © 2003-2013 www.wpsshop.cn 版权所有,并保留所有权利。