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Multirole Population of Automated Helmsmen in Neuroevolutionary Ship Handling

Lacki M.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2011

Vol. 5, no. 2

255--260

This paper presents the proposal of advanced intelligent system able to simulate and demon-strate learning behavior of helmsmen in ship maneuvering. Simulated helmsmen are treated as individuals in population, which through environmental sensing learn themselves to safely navigate on restricted waters. In-dividuals are being organized in groups specialized for particular task in ship maneuvering process. Neuroev-olutionary algorithms, which develop artificial neural networks through evolutionary operations, are used in this system.