With the formulation of United Nations Convention on the Law of the Sea, marine pollution has received widespread attention from various countries. Green navigation is an important requirement for route planning, in which energy consumption is its primary focus. Ships are affected by complex marine meteorological environments, so it is difficult to plan a reasonable route. Some methods have been proposed to solve this problem, but there are some shortcomings, such as no consideration of the effect of wind direction, wind speed and wave. To solve this problem, we introduce a meta-heuristic whale optimization algorithm (WOA), which helps ships find a low-energy-consumption and safe route in a large-scale complex marine environment. The results of our simulation experiments indicate that WOA is more competitive than other state-of-the-art algorithms for route planning.

中文翻译：

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大规模复杂海洋环境下船舶路径优化的鲸鱼优化算法

随着《联合国海洋法公约》的制定，海洋污染问题受到各国的广泛关注。绿色导航是路线规划的重要要求，其中能源消耗是其主要关注点。船舶受复杂的海洋气象环境影响，难以规划合理的航线。已经提出了一些解决这个问题的方法，但存在一些不足，例如没有考虑风向、风速和波浪的影响。为了解决这个问题，我们引入了一种元启发式鲸鱼优化算法（WOA），它可以帮助船舶在大规模复杂的海洋环境中找到一条低能耗、安全的航线。