Finding shortest routes for
commercial vessels has ever been an important issue on marine science. Shortest
route means less sailing time, less sailing time means faster delivery of
cargo, less consumption of fuel, less human power. In this study, we present a
particle swarm optimization approach to navigational decision support system.
The study is applied on the Aegean Sea. The proposed system is a dynamic
decision support system that calculates the shortest path from any starting
node to any finishing node. The network model consists of 604 nodes. Any ship
using this system can find the shortest route to finishing node dynamically.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | December 5, 2018 |
Submission Date | November 1, 2018 |
Published in Issue | Year 2018 Volume: 2 Issue: 2 |