Average Displacement of Multi-Beam Measurement Vessel based on 2D Particle Swarm Algorithm

Authors

  • Wenbo Yang

DOI:

https://doi.org/10.54097/yqxvm277

Keywords:

multi-beam survey, 2D particle swarm algorithm, penalty function.

Abstract

To address the optimization of a survey vessel's navigation route, this study uses historical sea depth data from a maritime area several years ago as an example. The research employs the two-dimensional Particle Swarm Optimization (2DPSO) algorithm to calculate the direction and distance for vessel navigation while adhering to constraints, aiming to obtain the optimal route for the survey vessel. Traditional Particle Swarm Optimization exhibits rapid early-stage convergence, but slows in the later stages and is susceptible to local optima. Hence, we opt for the 2DPSO algorithm, known for its simpler structure and incorporation of penalty functions to constrain particle values. This enhances algorithm performance and minimizes the risk of falling into local optima, offering a better solution to optimal route planning.

Downloads

Download data is not yet available.

References

Tonielli Renato; Innangi Sara; Di Martino Gabriella; Romagnoli Claudia. New bathymetry of the Linosa volcanic complex from multibeam systems (Sicily Channel, Mediterranean Sea) [J]. Journal of Maps, 2017:10.

Cheng Jing; Wang Zhijun; Li Guo dong; Wei Ke. Design and FPGA implementation of multibeam fisheries sonar beamforming algorithm [J]. Modernization of Fisheries, 2021:8.

Song Xi. Comparative analysis of multibeam and side-scan sonar seabed target detection [J]. Popular Standardization, 2022:3.

Wang Shu wen; Liu Xiaodong; Cao Jinliang; Zhao Hai xiao; Wu Mingming. Research and implementation of deep-water multibeam sonar multistrip detection mode [J]. Marine Surveying, 2022:6.

Mei sai; Yang Huiliang; Sun Zhi lei; Liu Jun; Li Hai long; Sun Jun; Zhao Zhao. Technology and application of acoustic detection of cold spring plume using multibeam water [J]. Marine Geology and Quaternary Geology, 2021:10

Du Yue, Ouyang Xiyu. Research on complex seafloor terrain image recognition method based on multibeam [J]. Mechanical Design and Manufacturing Engineering, 2023:4.

Zhao Xiang hong, Bao Jing yang. Anomaly data detection method for multibeam depth measurement [J]. Journal of Harbin Engineering University, 2018:1458-1464.

Makar Artur. Refraction Correction of the Acoustic Wave in Multibeam Systems [J]. IOP Conference Series: Earth and Environmental Science, 2019:11

Wu Yuan, Shen Pengfei, Zhu Zhen hai. Application of improved particle swarm optimization algorithm in Massive MIMO beam optimization [C], 2021.

Song Yanyan, Li Guang hong, Zhu Ling, Xia Chuan lin, Zheng Wei. Jiangxi self-driving tour route planning based on particle swarm optimization algorithm [J]. Modern Computer, 2023:6.

Wu Shaohua. Research on improvement and application of particle swarm optimization algorithm [J]. Ningxia University, 2019:3.

Shi Xue song, Cui Rong xin, Liu Wei. Multibeam sonar image stitching method based on improved FFT registration [C], 2022.

Downloads

Published

26-01-2024

How to Cite

Yang, W. (2024). Average Displacement of Multi-Beam Measurement Vessel based on 2D Particle Swarm Algorithm. Highlights in Science, Engineering and Technology, 82, 51-56. https://doi.org/10.54097/yqxvm277