In terms of intelligent optimizatio

In terms of intelligent optimization of ship routes, regular comprehensive assessment of ship operational energy efficiency and economic benefits, and optimization and adjustment of ship routes and fleet configuration on routes based on the assessment results are an effective way to improve the energy efficiency of ships in the fleet. Based on the time series of ship stall values ​​in wind and waves, Wang Huanyu realized the reasonable division of ship segments by using cluster analysis algorithm, and on this basis, proposed an intelligent optimization algorithm for ship speed segmentation based on simulated annealing algorithm. This algorithm realizes the speed optimization of the target ship. Marie et al. established a ship energy consumption model using fuzzy logic methods, and used a multi-objective genetic algorithm to determine the optimal route of the ship. Wang et al. established a ship energy efficiency model that considers multiple environmental factors, and used particle swarm optimization algorithm to achieve ship route optimization and speed optimization of different segments, and achieved better energy efficiency optimization results through the joint optimization of routes and speeds. Shao et al. proposed a new dynamic planning method for weather routing. Compared with the traditional method, this method not only optimizes the ship’s heading, but also optimizes the ship’s power. The analysis results show that this method reduces the ship’s power. The fuel consumption is about 3%, which also reduces the ship's sailing time.