Multirole Population of Automated Helmsmen in Neuroevolutionary Ship Handling

ABSTRACT: This paper presents the proposal of advanced intelligent system able to simulate and demonstrate 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. Individuals are being organized in groups specialized for particular task in ship maneuvering process. Neuroevolutionary algorithms, which develop artificial neural networks through evolutionary operations, are used in this system.

KEYWORDS: Ship Handling, Restricted Waters, Neuroevolutionary Ship Handling, Neuro Evolution of Augmenting Topologies (NEAT), Ship Manoeuvering, Automated Helmsmen, Multirole Population, Advanced Intelligent System

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Citation note:

Łącki M.: Multirole Population of Automated Helmsmen in Neuroevolutionary Ship Handling. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 5, No. 2, pp. 255-260, 2011

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