Unmanned vehicle path planning using a novel ant colony algorithm

被引：0
|
作者：
Longwang Yue
Hanning Chen
机构：
[1] Henan University of Technology,School of Mechanical and Electrical Engineering
[2] Tianjin Polytechnic University,School of Computer Science and Technology
来源：
EURASIP Journal on Wireless Communications and Networking | / 2019卷
关键词：
Path planning; Ant colony algorithm; Grid method; Penalty strategy;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The ant colony optimization algorithm is an effective way to solve the problem of unmanned vehicle path planning. First, establish the environment model of the unmanned vehicle path planning, process and describe the environmental information, and finally realize the division of the problem space. Next, the biomimetic behavior of the ant colony algorithm is described. The ant colony algorithm has been improved by adding a penalty strategy. This penalty strategy can enhance the utilization of resources and guide the ants to explore other unknown areas by using the worse value in the search history to enhance the volatility of the pheromone.
引用
收藏
相关论文
共 50 条
  • [1] Unmanned vehicle path planning using a novel ant colony algorithm
    Yue, Longwang
    Chen, Hanning
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 2019 (1)
  • [2] Path Planning Algorithm for Unmanned Surface Vehicle Based on Optimized Ant Colony Algorithm
    Cui, Yani
    Ren, Jia
    Zhang, Yu
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2022, 17 (07) : 1027 - 1037
  • [3] Patrol path planning of unmanned surface vehicle based on A* algorithm and ant colony algorithm
    Zhang D.
    Chen W.
    Zhang H.
    Su Y.
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 48 (06): : 13 - 18
  • [4] Path planning for unmanned surface vehicle based on improved ant colony algorithm
    Sun G.-W.
    Su Y.-X.
    Gu Y.-C.
    Xie J.-R.
    Wang J.-X.
    Kongzhi yu Juece/Control and Decision, 2021, 36 (04): : 847 - 856
  • [5] GUIDING UNMANNED AERIAL VEHICLE PATH PLANNING DESIGN BASED ON IMPROVED ANT COLONY ALGORITHM
    Wu, Wenzhi
    Wei, Ying
    MECHATRONIC SYSTEMS AND CONTROL, 2021, 49 (01): : 48 - 54
  • [6] Global Path Planning for Unmanned Surface Vehicle Based on Improved Quantum Ant Colony Algorithm
    Xia, Guoqing
    Han, Zhiwei
    Zhao, Bo
    Liu, Caiyun
    Wang, Xinwei
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 2019
  • [7] Unmanned Target Vehicle Navigation and Path Planning Using Improved Ant Colony Optimization Algorithm Combined with GPS/BDS
    Cai, Rongli
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2024, 21 (04) : 601 - 613
  • [8] AGRICULTURAL PLANT PROTECTION UNMANNED AERIAL VEHICLE SPRAY PATH PLANNING BASED ON ANT COLONY ALGORITHM
    He, Mingda
    Yang, Xinyan
    INMATEH-AGRICULTURAL ENGINEERING, 2024, 73 (02): : 647 - 657
  • [9] Unmanned surface vessel path planning based on quantum ant colony algorithm
    Xia G.
    Han Z.
    Zhao B.
    Yang Y.
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2019, 40 (07): : 1263 - 1268
  • [10] Unmanned sailboat path planning based on improved adaptive ant colony algorithm
    Shen, Zhipeng
    Ding, Wenna
    Liu, Yuchen
    Yu, Haomiao
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2023, 44 (06): : 969 - 976
12345