[1]ZOU Meikui,YU Fei,LYU Chongyang,et al.Path planning for autonomous underwater vehicles by using QPSO[J].CAAI Transactions on Intelligent Systems,2013,8(3):220-225.
Copy

Path planning for autonomous underwater vehicles by using QPSO

References:
[1]于飞,唐小勇,潘洪悦.改进粒子群算法在三维水下导航规划中的应用[J].北京理工大学学报, 2010, 30(9): 1059-1063.
YU Fei, TANG Xiaoyong, PAN Hongyue. The application of an improved PSO to the submersible path-planning[J]. Transactions of Beijing Institute of Technology, 2010, 30(9): 1059-1063.
[2]唐小勇,于飞,潘洪悦.改进粒子群算法的潜器导航规划[J].智能系统学报, 2010, 5(5): 443-447.
TANG Xiaoyong, YU Fei, PAN Hongyue. Submersible path-planning based on an improved PSO[J]. CAAI Transactions on Intelligent Systems, 2010, 5(5): 443-447.
[3]赵百轶,张利军,贾鹤鸣.基于四叉树和改进蚁群算法的全局路径规划[J].应用科技, 2011, 38(10): 23-28.
ZHAO Baiyi, ZHANG Lijun, JIA Heming. Global path planning based on quadtree and improved ant colony optimization algorithm[J]. Applied Science and Technology, 2011, 38(10): 23-28.
[4]SUN Jun, XU Wenbo, FENG Bin. A global search strategy of quantum-behaved particle swarm optimization[C]//Proceedings of the IEEE Conference on Cybernetics and Intelligent Systems. Singapore, 2004: 111-116. 
[5]SUN Jun, FANG Wei, WU Xiaojun, et al. Quantum-behaved particle swarm optimization: analysis of the individual particle’s behavior and parameter selection[J]. Evolutionary Computation, 2012, 20(3): 349-393.
[6]CHAI Zhilei, SUN Jun, CAI Rui, et al. Implementing quantum-behaved particle swarm optimization algorithm in FPGA for embedded real-time applications[C]//Proceedings of the 2009 Fourth International Computer Sciences and Convergence Information Technology. Washington, DC, USA: IEEE Computer Society, 2009: 886-890.
[7]申浩,田峰敏,赵玉新.基于VoronoiCells插值的三维海底地形图生成方法[J].系统仿真学报, 2006, 18(2): 444-446.
SHEN Hao, TIAN Fengmin, ZHAO Yuxin. Method for generating 3D digital map based upon VoronoiCells[J]. Journal of System Simulation, 2006, 18(2): 444-446.
[8]姜辉.水下潜器路径规划仿真平台的设计与实现[D].哈尔滨:哈尔滨工程大学, 2009.
 JIANG Hui. Design and implementation of the simulation platform for underwater vehicle path planning[D]. Harbin: Harbin Engineering University, 2009.
[9]梁俊,王琦,刘坤良,等.基于随机中点位移法的三维地形模拟[J].计算机仿真, 2005, 22(1): 213-215.
LIANG Jun, WANG Qi, LIU Kunliang, et al. 3D terrain simulation based on the method of random mid-point displacement[J]. Computer Simulation, 2005, 22(1): 213-215.
[10]毛宇峰,庞永杰.改进粒子群算法在水下机器人路径规划中的应用[J].计算机应用, 2010, 30(3): 789-792.
 MAO Yufeng, PANG Yongjie. Application of improved particle swam optimization in path planning of underwater vehicles[J]. Journal of Computer Applications, 2010, 30(3): 789-792.
[11]VAN DEN BERGH F, ENGELBRECHT A P. A new locally convergent particle swarm optimizer[C]//IEEE International Conference on Systems, Man and Cybern etics. Hammamet, Tunisia, 2002, 3: 94-99.
[12]WARREN C W. A technique for autonomous underwater vehicle route planning[J]. IEEE Journal of Oceanic Engineering, 1990, 15(3): 199-204.
[13]VASUDEVAN C, GANESAN L. Case-based path planning for autonomous underwater vehicles[J]. Autonomous Robots, 1996, 3(2): 79-89.
Similar References:

Memo

-

Last Update: 2013-08-29

Copyright © CAAI Transactions on Intelligent Systems