An Automatic Logistics System Using Artificial Intelligence
Jino Bae1, Sana Lee2, Siyu Kim3, Yonghee Lee4
1Jino Bae, Department of Computer Engineering, Halla University.
2Sana Lee, Department of Computer Engineering, Halla University.
3Siyu Kim, Department of Computer Engineering, Halla University.
4Yonghee Lee, Department of Computer Engineering, Halla University.
Manuscript received on 08 July 2019 | Revised Manuscript received on 18 August 2019 | Manuscript Published on 27 August 2019 | PP: 924-926 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B11830782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1183.0782S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we propose a method to utilize machine learning to automate the system of classifying and transporting large quantities of logistics. First, establish an environment similar to the task of transferring logistics to the desired destination, and set up basic rules for classification and transfer. Next, each of the logistics that need sorting and transportation is defined as one entity, and artificial intelligence is introduced so that each individual can go to an optimal route without collision between the objects to the destination. Artificial intelligence technology uses artificial neural networks and uses genetic algorithms to learn neural networks. The artificial neural network is generated by each chromosome, and it is evolved based on the most suitable artificial neural network, and a score is given to each operation to evaluate the fitness of the neural network. In conclusion, the validity of this algorithm is evaluated through the simulation of the implemented system.
Keywords: Logistics, Transportation, Artificial Intelligence, Artificial Neural Network, Genetic Algorithm.
Scope of the Article: Artificial Intelligence