International Journal of Multidisciplinary Studies and Innovative Technologies

International Journal of Multidisciplinary Studies and Innovative Technologies

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

Yazarlar: Timur İNAN, Ahmet Fevzi BABA

Cilt 2 , Sayı 2 , 2018 , Sayfalar 67 - 71

Konular:-

Anahtar Kelimeler:Particle swarm optimization,Decision support system,Shortest path,Aegean sea

Özet: 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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@article{2018, title={A PSO Approach to Navigational Shortest Path Problem on an Experience-Based Network Model of the Aegean Sea}, volume={2}, number={2}, publisher={International Journal of Multidisciplinary Studies and Innovative Technologies}, author={Timur İNAN,Ahmet Fevzi BABA}, year={2018}, pages={67–71} }
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Timur İNAN,Ahmet Fevzi BABA. (2018). A PSO Approach to Navigational Shortest Path Problem on an Experience-Based Network Model of the Aegean Sea (Vol. 2, pp. 67–71). Vol. 2, pp. 67–71. International Journal of Multidisciplinary Studies and Innovative Technologies.
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Timur İNAN,Ahmet Fevzi BABA. A PSO Approach to Navigational Shortest Path Problem on an Experience-Based Network Model of the Aegean Sea. no. 2, International Journal of Multidisciplinary Studies and Innovative Technologies, 2018, pp. 67–71.
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