Mobile Robot Global Path Planning Based on Improved Augment Ant Colony Algorithm

被引：15
|
作者：
Gao, Meijuan [1 ,2 ]
Xu, Jin [2 ]
Tian, Jingwen [1 ,2 ]
机构：
[1] Beijing Union Univ, Beijing, Peoples R China
[2] Beijing Univ Chem Technol, Beijing, Peoples R China
来源：
SECOND INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING: WGEC 2008, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/WGEC.2008.39
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To overcome the defects of precocity and the time for initial population building is too long in traditional augment ant colony algorithm for mobile robot global path planning, an improved augment ant colony algorithm is presented in this paper. The operations of crossover and mutation of genetic algorithm (GA) are used in augment ant colony optimization, and the heuristic probability function is added to the process of the initial population building. The process flow of improved ant colony algorithm is given and the simulation experiment is done under the VC++ 6.0 environment. Experimental results show that the algorithm has much higher capacity of global optimization than traditional augment ant colony algorithm.
引用
收藏
页码：273 / +
页数：2
相关论文
共 50 条
  • [1] Global Path Planning of Mobile Robot Based on Improved Ant Colony Algorithm
    Zhu Zheng
    Liu Shi-Rong
    Zhang Bo-Tao
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 4083 - 4088
  • [2] Path planning of mobile robot based on improved ant colony algorithm
    Lu Kai-feng
    Peng Li
    Proceedings of the 2007 Chinese Control and Decision Conference, 2007, : 526 - +
  • [3] Mobile Robot Path Planning Based on Improved Ant Colony Algorithm
    Su, Qinggang
    Yu, Wangwang
    Liu, Jun
    2021 ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS TECHNOLOGY AND COMPUTER SCIENCE (ACCTCS 2021), 2021, : 220 - 224
  • [4] Robot global path planning based on improved ant colony algorithm
    Wang Jinguo
    Wang Na
    Jiang Huiyu
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ADVANCED DESIGN AND MANUFACTURING ENGINEERING, 2015, 39 : 2099 - 2102
  • [5] Robot global path planning based on improved ant colony algorithm
    Wang Rui
    Wang Jinguo
    Wang Na
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATERIAL, MECHANICAL AND MANUFACTURING ENGINEERING, 2015, 27 : 946 - 949
  • [6] Global path planning of mobile robot based on adaptive mechanism improved ant colony algorithm
    Mao W.-P.
    Li S.-Y.
    Xie X.-L.
    Yang X.-M.
    Nie J.-W.
    Kongzhi yu Juece/Control and Decision, 2023, 38 (09): : 2520 - 2528
  • [7] Improved ant colony algorithm of path planning for mobile robot
    Zhao, Juan-Ping
    Gao, Xian-Wen
    Fu, Xiu-Hui
    Liu, Jin-Gang
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2011, 28 (04): : 457 - 461
  • [8] Improved ant colony algorithm for mobile robot path planning
    Pan, J. (panjie1616@126.com), 1600, China University of Mining and Technology (41):
  • [9] Improved ant colony algorithm for mobile robot path planning
    Wang, Pei-Dong
    Feng, Zu-Hong
    Huang, Xin
    Jiqiren/Robot, 2008, 30 (06): : 554 - 560
  • [10] Global Path Planning for Mobile Robot Based on Improved Ant Colony Algorithms
    Huang, Min
    Ding, Ping
    Huan, Jiaoxue
    APPLIED MECHATRONICS AND ANDROID ROBOTICS, 2013, 418 : 15 - +
12345