THE SHORTEST PATH PROBLEM WITH UNCERTAIN INFORMATION IN MARITIME TRANSPORT ROUTING

Tomasz NEUMANN
10/1/2016
Marine sciences and engineering;
Renewable energies; Marine renewable energies and Sustenability; Advanced
technologies for MET; Climate changes

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Abstract
The purpose of this paper is to find a solution for route planning in a maritime transport networks, where the costs of tracks, factor of safety and travel time are ambiguous. In this paper author propose a hybrid routing algorithm with Ant Colony Optimization.
Keywords
Dijksta Algorithm; Traveling Salesman Problem; Ant Colony Optimization
Tomasz NEUMANN
Gdynia Maritime University, Faculty of Naigation, Al. Jana Pawła II 3, 81-345, Gdynia, Poland
t.neumann@wn.am.gdynia.pl