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Journals / International Journal of Multidisciplinary Studies and Innovative Technologies / 2018 / Cilt: 2 Sayı: 2

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

Timur İnan(ISTANBUL AREL UNIVERSITY)0000-0002-6647-3025
Ahmet Fevzi Baba(Marmara University)0000-0003-4834-0912
Pages
67–71
Publication Date
2018-12-05
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Any ship using this system can find the shortest route to finishing node dynamically.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Finding shortest routes for commercial vessels has ever been an important issue on marine science.
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Key Findings & Data:The network model consists of 604 nodes.
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Conclusion & Impact:Any ship using this system can find the shortest route to finishing node dynamically.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:particle swarm optimization · decision support system · shortest path

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.

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Cite This Article

İnan, T., Baba, A. F. (2018). A PSO Approach to Navigational Shortest Path Problem on an Experience-Based Network Model of the Aegean Sea. International Journal of Multidisciplinary Studies and Innovative Technologies, Cilt: 2 Sayı: 2, 67–71. https://ajindex.com/articles/1497068

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