Application of improved adaptive genetic algorithm-based navigation in island areas

Jiayang Li; Guoyou Shi

doi:10.1117/12.2684726

21 July 2023 Application of improved adaptive genetic algorithm-based navigation in island areas

Jiayang Li, Guoyou Shi

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127172M (2023) https://doi.org/10.1117/12.2684726
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

When ships navigate in the island area, they often face problems such as high danger factor, difficult navigation and complicated route planning. Based on the above problems, we propose to adopt the improved adaptive genetic algorithm after rasterizing the map to select a route that considers safety, efficiency and smooth road strength for drivers' navigation. The environment of ship island area navigation is simulated in the raster map, and a reasonable path is planned by applying the improved adaptive genetic algorithm. The results show that the path is shorter, smoother and with fewer iterations than the traditional genetic algorithm. With the continuous development of automatic control technology, it can provide theoretical support for the future unmanned ship navigation in the island area.

Citation Download Citation

Jiayang Li and Guoyou Shi "Application of improved adaptive genetic algorithm-based navigation in island areas", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127172M (21 July 2023); https://doi.org/10.1117/12.2684726

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