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Research on Location of Cold Chain Logistics Distribution Center with Low Carbon in Beijing-Tianjin-Hebei Area on the Basis of RNA-Artificial Fish Swarm Algorithm
- Source :
- Journal of Physics: Conference Series. 1861:012005
- Publication Year :
- 2021
- Publisher :
- IOP Publishing, 2021.
-
Abstract
- In order to improve the existing problems of the artificial fish swarm algorithm, the fish swarm algorithm is improved by using the characteristics of RNA computing, and the RNA-artificial fish swarm algorithm is proposed. Since cold-chain food has the characteristics of perishable quality and can generate a large number of carbon emissions during its transportation, this paper establishes a model for optimizing cold chain low carbon logistics location in the Beijing-Tianjin-Hebei area, including factors such as food spoilage, refrigeration and carbon emissions. The logistics location optimization model is solved 30 times with the basic fish swarm algorithm and the RNA-artificial fish swarm algorithm respectively. The simulation results prove the effectiveness of the RNA-artificial fish swarm algorithm.
Details
- ISSN :
- 17426596 and 17426588
- Volume :
- 1861
- Database :
- OpenAIRE
- Journal :
- Journal of Physics: Conference Series
- Accession number :
- edsair.doi...........83b1f79e1f7ec236f00dbd93a82edcf5
- Full Text :
- https://doi.org/10.1088/1742-6596/1861/1/012005