[1]邹梅魁,于飞,吕重阳,等.采用量子粒子群算法的潜器路径规划[J].智能系统学报,2013,8(03):220-225.
 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(03):220-225.
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第8卷
期数:
2013年03期
页码:
220-225
栏目:
出版日期:
2013-06-25

文章信息/Info

Title:
Path planning for autonomous underwater vehicles by using QPSO
文章编号:
1673-4785(2013)03-0220-06
作者:
邹梅魁于飞吕重阳王兴彬
哈尔滨工程大学 理学院,黑龙江 哈尔滨150001
Author(s):
ZOU Meikui YU Fei LYU Chongyang WANG Xingbin
College of Science, Harbin Engineering University, Harbin 150001, China
关键词:
潜器量子粒子群算法海图潜器导航路径规划
Keywords:
autonomous underwater vehicles quantum-behaved particle swarm optimization nautical chart autonomous underwater vehicle navigation path planning
分类号:
TP242.6
文献标志码:
A

参考文献/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.

备注/Memo

备注/Memo:
收稿日期:2012-06-05.
网络出版日期: 2013-05-15. 
基金项目:国家自然科学基金资助项目(51179039);高等学校博士学科点专项科研基金资助项目(20102304110021). 
通信作者:邹梅魁.
 E-mail: zoumeikui@126.com.
作者简介:
邹梅魁,男,1988年生,硕士研究生,主要研究方向为水下潜器三维路径规划.
于飞,男,1974年生,教授,博士生导师,国家自然科学基金同行评议专家.主要研究方向为惯性测量、组合导航数据融合、潜器导航等.作为负责人主持国家自然科学基金1项、教育部博士点基金1项,获黑龙江省教学成果奖2项.发表学术论文30余篇,其中被SCI检索4篇、EI检索18篇,申请国家发明专利1项.
吕重阳,男,1987年生,硕士研究生,主要研究方向为群智能算法.
更新日期/Last Update: 2013-08-29