基于SA-GA算法的船舶多目标航速优化研究

Speed optimization is an important means for ships to save energy and reduce emissions. The current speed optimization is performed with a single objective, which makes it difficult to satisfy the trade-off between energy efficiency and time. To solve this problem, this paper proposes a multi-objective speed optimization method based on energy efficiency and time. Firstly, the fuel consumption-speed model and the energy efficiency-speed model of the main engine are derived. The average relative errors of the fuel consumption model and the energy efficiency model are 0.0332% and 0.0409%, respectively.Then a SA-GA algorithm based on global search of Genetic Algorithm (GA) and local optimization of Simulated Annealing (SA) is proposed, and the multi-objective speed optimization is carried out by fuel consumption and time, energy efficiency and time respectively. Finally, the comparative analysis of the data before and after the speed optimization shows that when the sailing time increases by about 4.6%, the fuel consumption decreases by 7.90%, and the energy efficiency operation index EEOI decreases by 8.03%. It achieves the effect of balancing trade-offs between reducing fuel consumption, improving energy efficiency, and flight time, provide technical support for intelligent energy efficiency management of ships.