Paper
23 May 2023 Research on path planning of unmanned vessel based on ant colony algorithm
Wen-bin Gong, Xia-fu Lv
Author Affiliations +
Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126044N (2023) https://doi.org/10.1117/12.2674653
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China
Abstract
Aiming at the problems of Ant Colony System (ACS) algorithm in unmanned vessel path planning, such as slow convergence speed and local optimization, an improved ACS algorithm is studied. The method of uneven distribution of initial pheromones, pheromone incremental segmental update and automatic adjustment of volatilization factor are adopted for improvement. The simulation results show that the method uses fewer iterations to obtain the optimal path planning effect, and the algorithm improvement research is reliable and effective.
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Wen-bin Gong and Xia-fu Lv "Research on path planning of unmanned vessel based on ant colony algorithm", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126044N (23 May 2023); https://doi.org/10.1117/12.2674653
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KEYWORDS
Detection and tracking algorithms

Computer simulations

Mathematical optimization

Particle swarm optimization

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