Multi-objective navigation optimization of sailing time and fuel consumption under the influence of wind and waves

Weicheng Zhang; Youbing Feng; Chaohong Gu

doi:10.1117/12.3004659

9 October 2023 Multi-objective navigation optimization of sailing time and fuel consumption under the influence of wind and waves

Weicheng Zhang, Youbing Feng, Chaohong Gu

Author Affiliations +

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127910G (2023) https://doi.org/10.1117/12.3004659
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

Ship route optimization is a complex multivariable multi-objective problem. To solve this problem, a feasible ship navigation optimization method is proposed, using the waypoints of the route as decision variables, the non navigable area and speed as constraints, and the travel time and fuel consumption as evaluation functions for the quality of the route. A multi-objective optimization model for travel time and fuel consumption under the influence of wind, waves, and currents is established. Then, an improved genetic algorithm with cross mutation operator adaptive evolution is designed to improve the convergence speed of the algorithm. Finally, simulation experiments were conducted on this method and compared with the data of the large circle route. The results indicate that the route planned by this method can successfully reduce flight hours and energy consumption.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weicheng Zhang, Youbing Feng, and Chaohong Gu "Multi-objective navigation optimization of sailing time and fuel consumption under the influence of wind and waves", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127910G (9 October 2023); https://doi.org/10.1117/12.3004659

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