- Tytuł:
- Multi-criteria ACO-based algorithm for ship’s trajectory planning
- Autorzy:
- Lazarowska, A.
- Powiązania:
- https://bibliotekanauki.pl/articles/116548.pdf
- Data publikacji:
- 2017
- Wydawca:
- Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
- Tematy:
-
colregs
ships manoeuvering
Ant Colony Optimization (ACO)
ship’s trajectory planning
route planning
multi-criteria ACO-based algorithm
guidance
navigation and control (GNC)
ARPA - Opis:
- The paper presents a new approach for solving a path planning problem for ships in the environment with static and dynamic obstacles. The algorithm utilizes a heuristic method, classified to the group of Swarm Intelligence approaches, called the Ant Colony Optimization. The method is inspired by a collective behaviour of ant colonies. A group of agents - artificial ants searches through the solution space in order to find a safe, optimal trajectory for a ship. The problem is considered as a multi-criteria optimization task. The criteria taken into account during problem solving are: path safety, path length, the International Regulations for Preventing Collisions at Sea (COLREGs) compliance and path smoothness. The paper includes the description of the new multi-criteria ACO-based algorithm along with the presentation and discussion of simulation tests results.
- Źródło:
-
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 1; 31-36
2083-6473
2083-6481 - Pojawia się w:
- TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
- Dostawca treści:
- Biblioteka Nauki
Artykuł