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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Multi-criteria ACO-based Algorithm for Ship's Trajectory Planning
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: 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.
KEYWORDS: Colregs, ARPA, Route Planning, Ships Manoeuvering, Ant Colony Optimization (ACO), Ship's Tajectory Planning, Multi-Criteria ACO-Based Algorithm, Guidance, Navigation and Control (GNC)
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Citation note:
Lazarowska A.: Multi-criteria ACO-based Algorithm for Ship's Trajectory Planning. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 11, No. 1, doi:10.12716/1001.11.01.02, pp. 31-36, 2017
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