Study on the optimization of sea-river-through container ship based on the ideal solution neural network

Chao Wan; Feng Jin

doi:10.1117/12.2660935

2 February 2023 Study on the optimization of sea-river-through container ship based on the ideal solution neural network

Chao Wan, Feng Jin

Author Affiliations +

Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124622O (2023) https://doi.org/10.1117/12.2660935
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China

Abstract

It is of great concern to ship designers to choose schemes with excellent comprehensive performance among many feasible ship types. The existing decision-making methods are generally highly subjective, and they need to be improved in algorithms and other aspects. In addition, for different ship types, the evaluation factors vary greatly. The optimization of sea-river-through container ship scheme is mainly studied here. Firstly, the main influencing factors of the preferred scheme are discussed. Secondly, the ideal solution neural network optimization model is established. Finally, the feasibility and effectiveness of the model application are verified through the example analysis of 250TEU sea-river-through container ship. The research results can provide a reference for the design of sea-river-through container ships and similar vessels.

Citation Download Citation

Chao Wan and Feng Jin "Study on the optimization of sea-river-through container ship based on the ideal solution neural network", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124622O (2 February 2023); https://doi.org/10.1117/12.2660935

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