<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper presents an application of the Ant Colony Optimization (ACO) technique in a safe ship control system. The method developed solves the problem of path planning and collision avoidance of a ship in the open sea as well as in restricted waters. The structure of the developed safe ship control system is introduced, followed by a presentation of the applied algorithm. Results showing the problem-solving capability of the system are also included. The aim of the system developed is to increase automation of a safe ship control process. It is possible to apply the proposed method in Unmanned Surface Vehicles (USVs) control system, what will contribute to the enhancement of their autonomy.</p></abstract>

This paper presents an application of the Ant Colony Optimization (ACO) technique in a safe ship control system. The method developed solves the problem of path planning and collision avoidance of a ship in the open sea as well as in restricted waters. The structure of the developed safe ship control system is introduced, followed by a presentation of the applied algorithm. Results showing the problem-solving capability of the system are also included. The aim of the system developed is to increase automation of a safe ship control process. It is possible to apply the proposed method in Unmanned Surface Vehicles (USVs) control system, what will contribute to the enhancement of their autonomy.

Swarm Intelligence Approach to Safe Ship Control

Gdynia Maritime University 11/12 Narutowicza St. 80 - 233 Gdańsk Poland

Polish Maritime Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Swarm Intelligence Approach to Safe Ship Control"}

This paper presents an application of the Ant Colony Optimization (ACO) technique in a safe ship control system. The method developed solves the problem of...

Swarm Intelligence Approach to Safe Ship Control

Online veröffentlicht: 30. Dez. 2015

Seitenbereich: 34 - 40

DOI: https://doi.org/10.1515/pomr-2015-0068

Schlüsselwörter
Ant Colony Optimization, collision avoidance, computer simulation, marine transport, path planning, safe ship control, safety at sea, swarm intelligence

© 2016

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Swarm Intelligence Approach to Safe Ship Control

Online veröffentlicht: 30. Dez. 2015

Seitenbereich: 34 - 40

DOI: https://doi.org/10.1515/pomr-2015-0068

SchlüsselwörterAnt Colony Optimization, collision avoidance, computer simulation, marine transport, path planning, safe ship control, safety at sea, swarm intelligence

© 2016

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Ant Colony Optimization, collision avoidance, computer simulation, marine transport, path planning, safe ship control, safety at sea, swarm intelligence