Path planning of mobile robot based on improved ant colony algorithm for logistics.

Journal: Mathematical biosciences and engineering : MBE
PMID: 34198374

Abstract

The path planning of robot is of great significance for the logistics industry, which helps to improve the efficiency of warehousing, sorting and distribution. On the basis of ant colony algorithm, multi step search strategy is used instead of single step search strategy, pheromone update mechanism is redesigned, and path smoothing is configured to improve the performance of the algorithm. The experimental results show that the improved ant colony algorithm proposed in this paper can plan a shorter optimal path on the 16 * 16 grid logistics storage site, and the path length is saved by 9.21%.

Authors

  • Tian Xue
    Logistics School, Beijing Wuzi University, Beijing 101149, China.
  • Liu Li
  • Liu Shuang
    School of computer and Information Engineering, Harbin University of Commerce, Harbin 150080, China.
  • Du Zhiping
    Logistics School, Beijing Wuzi University, Beijing 101149, China.
  • Pang Ming
    College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China.

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