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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

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Associate Editor
Prof. Tomasz Neumann
 

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TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@am.gdynia.pl
Neuroevolutionary Approach to COLREGs Ship Maneuvers
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: The paper describes the usage of neuroevolutionary method in collision avoidance of two power-driven vessels approaching each other regarding COLREGs rules. This may be also be seen as the ship handling system that simulates a learning process of a group of artificial helmsmen - autonomous control units, created with artificial neural networks. The helmsman observes an environment by its input signals and according to assigned CORLEGs rule, he calculates the values of required parameters of maneuvers (propellers rpm and rudder deflection) in a collision avoidance situation. In neuroevolution such units are treated as individuals in population of artificial neural networks, which through environmental sensing and evolutionary algorithms learn to perform given task safely and efficiently. The main task of this project is to evolve a population of helmsmen which is able to effectively implement chosen rule: crossing or overtaking.
REFERENCES
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Naeem, W., Irwin, G.W. & Aolei, Y. 2012. COLREGs-based collision avoidance strategies for unmanned surface vehicles , Oxford, ROYAUME-UNI: Elsevier. - doi:10.1016/j.mechatronics.2011.09.012
Nowak, A., Praczyk, T. & Szymak, P. 2008. Multi-agent system of autonomous underwater vehicles - preliminary report, Zeszty Naukowe Akademii Marynarki Wojennej, vol. 4, 99–108.
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Citation note:
Łącki M.: Neuroevolutionary Approach to COLREGs Ship Maneuvers. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13, No. 4, doi:10.12716/1001.13.04.06, pp. 745-750, 2019

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