A PSO Approach to Navigational Shortest Path Problem on an Experience-Based Network Model of the Aegean Sea

Year 2018, Volume: 2 Issue: 2, 67 - 71, 05.12.2018

Timur İnan , Ahmet Fevzi Baba

Abstract

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.

Keywords

particle swarm optimization, decision support system, shortest path, aegean sea

A PSO Approach to Navigational Shortest Path Problem on an Experience-Based Network Model of the Aegean Sea

Abstract

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