Research on Real-Time Location of Submersible Based on NSGA-II Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.8344

@InProceedings{Xu:2024:ICIPCA,

• author = "Dongyang Xu and Yunpeng Shi",
• title = "Research on Real-Time Location of Submersible Based on {NSGA-II} Algorithm",
• booktitle = "2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA)",
• year = "2024",
• pages = "1732--1736",
• month = jun,
• 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",
• DOI = "doi:10.1109/ICIPCA61593.2024.10709240",
• 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.",
• notes = "Also known as \cite{10709240}",

}

Genetic Programming entries for Dongyang Xu Yunpeng Shi

Citations