Paper
16 February 2023 Ship route multi-objective optimization model based on hybrid genetic algorithm
Jinlong Cui, Yuankui Li, Chunfu Qiao, Jiyuan Suo, Xuefeng Yang
Author Affiliations +
Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 125913G (2023) https://doi.org/10.1117/12.2668626
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China
Abstract
Maritime Autonomous Surface Ships are increasingly becoming a topic of discussion due to the continuous improvement of ship’s intelligence levels. To meet the safety and economic requirements in a ship’s route design, a multi-objective intelligent hybrid algorithm based on the genetic algorithm and the greedy algorithm was proposed in this work. The marine environment model was gridded to a dynamic and static no-voyage zone. The initial continuous and random routes were generated by the greedy algorithm. The objective function, designed according to the multi-objective and multi-constraint, was solved by the genetic algorithm to generate the optimal route and corresponding speed distribution. The experimental results show that this method can ensure the safety of the ship and flexibly meet the needs of different decision-makers.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinlong Cui, Yuankui Li, Chunfu Qiao, Jiyuan Suo, and Xuefeng Yang "Ship route multi-objective optimization model based on hybrid genetic algorithm", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 125913G (16 February 2023); https://doi.org/10.1117/12.2668626
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KEYWORDS
Genetic algorithms

Design and modelling

Mathematical optimization

Meteorology

Safety

Oceanography

Wind speed

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