Route planning for autonomous vessels based on improved artificial fish swarm algorithm

• Published in: Ships and offshore structures Vol. 18; no. 6; pp. 897 - 906
• Main Authors: Zhao, Liang, Wang, Fang, Bai, Yong
• Format: Journal Article
• Language: English
• Published: Cambridge Taylor & Francis 03.06.2023; Taylor & Francis Ltd
• Subjects: AFSA; Algorithms; ASV; Comparative analysis; Comparative studies; Ecosystem disturbance; GNC system; GNC systems; Path planning; Probability theory; Route planning; Sea trials; Surface craft
• ISSN: 1744-5302; 1754-212X
• DOI: 10.1080/17445302.2022.2081423

Path planning is one of the key technologies in the research of autonomous surface vessels (ASVs). In this paper, an improved artificial fish swarm algorithm (IAFSA) is proposed. The algorithm is modified from four perspectives: (1) A directional operator is introduced to improve the efficiency. (2)...