[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(3):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(3):220-225.
点击复制
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.
采用量子粒子群算法的潜器路径规划
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
8
期数:
2013年第3期
页码:
220-225
栏目:
学术论文—智能系统
出版日期:
2013-06-25
- Title:
- Path planning for autonomous underwater vehicles by using QPSO
- 文章编号:
- 1673-4785(2013)03-0220-06
- 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
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