考虑在船舶排放控制区背景下，以燃油成本和租船成本为优化目标进行多目标船舶航速优化，选择基于蝴蝶优化算法与线性加权相结合和多目标蜻蜓算法的2种多目标优化方法，求解得出Pareto最优解集，最后通过理想点距离法的决策方法从Pareto最优解集中确定出最佳折衷解。结果表明，当以多目标蜻蜓算法优化航速航行时，燃油成本降低2.72%，租船成本降低15.57%，可有效降低5.78%的船舶营运成本，更能大大提高船东和航运企业的经济效益，更符合环保要求。
Considering the background of emission control area for ships, the multi-objective ship speed optimization is carried out with fuel cost and charter cost as optimization objectives, and two multi-objective optimization methods based on butterfly optimization algorithm combined with linear weighting and multi-objective dragonfly algorithm are selected to solve the Pareto optimal solution set. Finally, the optimal compromise solution is determined from Pareto optimal solution set by the decision method of ideal point distance method. The results show that when the multi-objective dragonfly algorithm is used to optimize sailing speed, the fuel cost is reduced by 2.72%, the charter cost is reduced by 15.57%, which can effectively reduce the ship operating cost by 5.78%, and greatly improve the economic benefits of shipowners and shipping enterprises. More in line with the requirements of environmental protection.
2024,46(17): 20-26 收稿日期：2023-10-18
DOI：10.3404/j.issn.1672-7649.2024.17.004
分类号：U676.3
基金项目：海洋装备与技术研究所资助项目（XTCXKY-20230003）
作者简介：郭霆(1975-),男,硕士,副教授,研究方向为船舶自动化
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