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Article

Optimization of Waypoints on the Great Circle Route Based on Genetic Algorithm and Fuzzy Logic

by
Tsung-Hsuan Hsieh
1,*,
Qian Meng
1,
Bing Han
2,3,*,
Shengzheng Wang
1 and
Xuezhen Wu
1
1
Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China
2
Shanghai Ship and Shipping Research Institute Co., Ltd., Shanghai 200135, China
3
National Engineering Research Center of Ship & Shipping Control System, Shanghai 200135, China
*
Authors to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2023, 11(2), 358; https://doi.org/10.3390/jmse11020358
Submission received: 8 January 2023 / Revised: 28 January 2023 / Accepted: 1 February 2023 / Published: 5 February 2023
(This article belongs to the Section Ocean Engineering)
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Abstract

Determining the appropriate number and position of waypoints on a great circle route (GCR) helps to shorten the sailing distance, reduce the number of course changes, and well-approximate the GCR through a small number of rhumb line (RL) legs. In this study, a genetic algorithm-based method (i.e., the GA method) is proposed to optimize the positions of waypoints on the GCR when the number of waypoints is given. Furthermore, a fuzzy logic-based evaluation method for the number of waypoints (i.e., the FL method) is proposed to judge whether to add a new waypoint or stop the process by using the non-fixed values while considering both the number of waypoints and the remaining benefit of the GCR. According to the example demonstration results, the two methods proposed in this study can well-determine the number and position of waypoints and provide effective support for ocean route planning.
Keywords: great circle route; waypoint; genetic algorithm; fuzzy logic; rhumb line great circle route; waypoint; genetic algorithm; fuzzy logic; rhumb line

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MDPI and ACS Style

Hsieh, T.-H.; Meng, Q.; Han, B.; Wang, S.; Wu, X. Optimization of Waypoints on the Great Circle Route Based on Genetic Algorithm and Fuzzy Logic. J. Mar. Sci. Eng. 2023, 11, 358. https://doi.org/10.3390/jmse11020358

AMA Style

Hsieh T-H, Meng Q, Han B, Wang S, Wu X. Optimization of Waypoints on the Great Circle Route Based on Genetic Algorithm and Fuzzy Logic. Journal of Marine Science and Engineering. 2023; 11(2):358. https://doi.org/10.3390/jmse11020358

Chicago/Turabian Style

Hsieh, Tsung-Hsuan, Qian Meng, Bing Han, Shengzheng Wang, and Xuezhen Wu. 2023. "Optimization of Waypoints on the Great Circle Route Based on Genetic Algorithm and Fuzzy Logic" Journal of Marine Science and Engineering 11, no. 2: 358. https://doi.org/10.3390/jmse11020358

APA Style

Hsieh, T.-H., Meng, Q., Han, B., Wang, S., & Wu, X. (2023). Optimization of Waypoints on the Great Circle Route Based on Genetic Algorithm and Fuzzy Logic. Journal of Marine Science and Engineering, 11(2), 358. https://doi.org/10.3390/jmse11020358

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