This paper presents the advanced intelligent ship handling system able to simulate and demonstrate learning behavior of artificial helmsman which controls model of ship in a windy environment of restricted water area. Simulated helmsmen are treated as individuals in population, which through environmental sensing and evolutionary algorithms learns to perform given task efficiently. The task is: safe navigation through heavy wind channels. Neuroevolutionary algorithms, which develop artificial neural networks through evolutionary operations, have been applied in this system.
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