- Tytuł:
- Ship course-keeping with neuroevolutionary algorithms
- Autorzy:
- Łącki, M.
- Tematy:
-
ship course-keeping
neuroevolution
autopilot
ship maneuvering
artificial intelligence
algorithm - Pokaż więcej
- Wydawca:
- Akademia Morska w Szczecinie. Wydawnictwo AMSz
- Powiązania:
- https://bibliotekanauki.pl/articles/135344.pdf Link otwiera się w nowym oknie
- Opis:
- The goal of research presented in this article is to check if a neuroevolutionary method with direct encoding is able to be a part of autopilot of the vessel. One of the important tasks of vessel autopilots is to keep a course as straight as possible or to bring the ship back on the route as efficiently as possible. In this paper, the adaptive neuroevolutionary autopilot is described and tested on a simulation model of a ferry. Neuroevolution is a combination of two different but related fields of artificial machine learning: evolution and neural networks. The combined method is very flexible and can be applied to other ship control tasks. The results of computer simulation of the neuroevolutionary course-keeping system have been included.
- Dostawca treści:
- Biblioteka Nauki
Artykuł