2018
DOI: 10.1017/s0373463318000048
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Application of Real-Coded Genetic Algorithm in Ship Weather Routing

Abstract: Solving the problem of ship weather routing has been always a goal of nautical navigation research and has been investigated by many scientists. The operation schedule of an oceangoing ship can be influenced by wave or wind disturbances, which complicate route planning. In this paper, we present a real-coded genetic algorithm to determine the minimum voyage route time for point-to-point problems in a dynamic environment. A fitness assignment method based on an individual's position in the sorted population is … Show more

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Cited by 45 publications
(23 citation statements)
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References 22 publications
(25 reference statements)
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“…A number of scholars have carried out empirical studies on naval routing and voyage planning. An optimal route can be defined as the blend of shortest time, minimal fuel consumption, and general safety of navigation (Wang et al 2018). Routing and path planning seem to be used interchangeably in the literature.…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…A number of scholars have carried out empirical studies on naval routing and voyage planning. An optimal route can be defined as the blend of shortest time, minimal fuel consumption, and general safety of navigation (Wang et al 2018). Routing and path planning seem to be used interchangeably in the literature.…”
Section: Related Workmentioning
confidence: 99%
“…It was later extended by Bijlsma (2001). Wang et al (2018) point out that this method is not very useful for practical applications. One can also use dynamic programming, which treats the issue as a discrete multi-stage decision problem (Bellman 1952).…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…When V w is greater than the critical STW, the ship must be slowed down, which is known as the voluntary speed reduction. In this paper, the following equations are used to calculate the critical STW [50,51]:…”
Section: The Speed Correction Modelmentioning
confidence: 99%