Journal of Computing and Natural Science


Analysis of Container Communication in Artificial Intelligence



Journal of Computing and Natural Science

Received On : 10 October 2020

Revised On : 10 November 2020

Accepted On : 25 December 2020

Published On : 05 April 2021

Volume 01, Issue 02

Pages : 033-038


Abstract


With the rapid growth of international container transportation and the development trend of large-scale ships, there are deficiencies in ship utilization and transportation economy. More and more liner companies are actively building and optimizing container shipping network to improve service efficiency and reduce unit operating cost. The optimization model of container shipping network is established. Taking the minimum total cost of container shipping network as the objective, considering the constraints of shipping network, the immune algorithm is applied to solve the model, to determine the optimal container transportation network. Finally, two schemes are designed, and the simulation analysis results can select an optimal scheme, and the effectiveness of the proposed method is verified.


Keywords


Container transportation, Artificial Intelligence, Network optimization; Immune algorithm.


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Cite this article


Raphael Duval Folsom, “Analysis of Container Communication in Artificial Intelligence”, Journal of Computing and Natural Science, vol.1, no.2, pp. 033-038, April 2021. doi: 10.53759/181X/JCNS202101007.


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© 2021 Raphael Duval Folsom. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.