| Autor: |
Tian Xue, Liu Li, Liu Shuang, Du Zhiping, Pang Ming |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Mathematical Biosciences and Engineering, Vol 18, Iss 4, Pp 3034-3045 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1551-0018 |
| DOI: |
10.3934/mbe.2021152?viewType=HTML |
| Popis: |
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%. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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