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.
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Raphael Duval Folsom
Raphael Duval Folsom
Division History and Natural Science, The University of Oklahoma, Norman, Oklahoma.
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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.