Research on Real-Time Location of Submersible Based on NSGA-II Algorithm
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gp-bibliography.bib Revision:1.8344
- @InProceedings{Xu:2024:ICIPCA,
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author = "Dongyang Xu and Yunpeng Shi",
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title = "Research on Real-Time Location of Submersible Based on
{NSGA-II} Algorithm",
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booktitle = "2024 IEEE 2nd International Conference on Image
Processing and Computer Applications (ICIPCA)",
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year = "2024",
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pages = "1732--1736",
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month = jun,
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keywords = "genetic algorithms, genetic programming, Accuracy,
Oceans, Prediction algorithms, Real-time systems,
Vectors, Trajectory, Kalman filters, Underwater
vehicles, Optimisation, Sports, Kalman filter, CA,
FCNN, NSGA-II",
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DOI = "
doi:10.1109/ICIPCA61593.2024.10709240",
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abstract = "Under sea exploration is becoming a favorite sport,
but there are safety hazards associated with this
sport. We want to generate submersibles that will take
humans to the deepest parts of the ocean, so safety
measures are essential. The aim of this paper is to
predict and equip the submersible with relevant safety
equipment to improve the safety of the submersible. We
collected data on the physicochemical properties of the
Ionian sea water, based on the TEOS-10 equation
published by SCOR/IAPSO WG127 and IUPAP, and simulated
the trajectory of the submersible in different confined
environments by cellular automata. The final trajectory
of the submersible in the whole vector field is
obtained. We use genetic programming path algorithms
and Kalman filters to adjust the probability
distribution in real time to make it more accurate in
predicting the position of the submersible. Finally, we
use NSGA-II algorithm for multi-objective optimisation
to pre-determine the position of multiple submersibles
in the ocean. Through multiple iterations, the
algorithm can find a set of optimal solutions to obtain
the optimal deployment position of multiple
submersibles.",
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notes = "Also known as \cite{10709240}",
- }
Genetic Programming entries for
Dongyang Xu
Yunpeng Shi
Citations