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.


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    Title :

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


    Contributors:

    Conference:

    3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023) ; 2023 ; Wuhan, China


    Published in:

    Proc. SPIE ; 12717


    Publication date :

    2023-07-21





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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