基于非线性规划的ECA约束下班轮航线优化

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI:10.1117/12.2671177

Qiulan Wang

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引用次数: 0

摘要

本文提出了一种创新的非线性规划模型来优化排放控制区约束下的运输成本。北极航线是亚洲到欧洲最有潜力的航线，可以显著降低航运成本。因此，以优化现有航运成本为目标，建立了优化模型，结果表明，在碳税低于190美元/吨的情况下，支线船在ECA内航行具有更好的经济成本表现。所提出的优化方法在选择北极航线时，可以很好地降低航运成本并获得更好的排放性能。研究结果还可以提高航运公司的收入，保持环境的可持续性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Nonlinear programming based liner shipping route optimization under ECA restriction

This study proposes an innovate nonlinear programming model to optimize the shipping cost under the restriction of Emission Control Area (ECA). The arctic shipping route entitles the most potentially route from Asia to Europe to significantly reduce the shipping cost. Therefore, aiming to optimal the existing shipping cost, the optimized model is provided and finds that the feeder ships have better performance on economic cost whether sailing in ECA accordingly with the carbon tax less than 190 USD/tons. The proposed optimization method can well reduce the shipping cost and get better emission performance when choosing the arctic shipping route. And the results also can improve the shipping company’s revenues and maintain environmental sustainability.

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International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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