Open Access Paper
12 November 2024 Particle swarm optimization algorithm-based siting and design of fishing vessels concentrating on crossing the precautionary area
Kaiqiang Wang, Zhongzhou Fan, Yuqing Wang, Yuchi Han
Author Affiliations +
Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 133951W (2024) https://doi.org/10.1117/12.3048593
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
In order to avoid the safety hazards of fishing vessels dispersing and crossing the precautionary area in a disorderly manner, reducing collisions between commercial and fishing vessels and ensuring the safe and efficient operation of neighboring ports, it is crucial to select the area where fishing vessels are concentrated to cross the large precautionary area. Based on the advantages and disadvantages of the particle swarm algorithm and the path planning principles outlined in the General Provisions on Ships’ Routeing, we conducted a site selection study focused on the waters within the large cordoned-off area where fishing vessels frequently cross. As a practical example, we planned a recommended route for fishing vessels navigating the densely trafficked area in the southeast of Shidao. The recommended route for fishing vessels described in this plan is the optimal crossing of waters under the condition of non-closed fishing season, which was verified to be feasible by examples and announced on April 9, 2024, for implementation.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Kaiqiang Wang, Zhongzhou Fan, Yuqing Wang, and Yuchi Han "Particle swarm optimization algorithm-based siting and design of fishing vessels concentrating on crossing the precautionary area", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 133951W (12 November 2024); https://doi.org/10.1117/12.3048593
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KEYWORDS
Particle swarm optimization

Safety

Particles

Design

Navigation systems

Environmental sensing

Mathematical optimization

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