DocumentCode
2068767
Title
One dimensional Self-Organizing Maps to optimize marine patrol activities
Author
Lobo, Victor
Author_Institution
Portuguese Naval Acad. & Fernando Bacao, ISEGI-UNL, Lisboa, Portugal
Volume
1
fYear
2005
fDate
20-23 June 2005
Firstpage
569
Abstract
A method for planning routes for patrol vessels is proposed. This method is based on a Self-Organizing Map (SOM) solution for the Travelling Salesman Problem (TSP), although with significant changes. The locations of reported Search and Rescue (SAR) requests, together with the locations of reported occurrences of illegal fishing activities are used as guidelines for designing the path vessel should take. However, instead of forcing the patrol routes to pass exactly in those locations, as would happen in a TSP, the proposed method uses the locations as density estimators for where the patrol effort should be placed. It then obtains a patrol route that passes through the areas with greater density. We show the behaviour of the proposed method on artificial data, and then apply the method to some data from the Portuguese Navy, obtaining possible routes for its patrol vessels.
Keywords
aquaculture; geophysics computing; marine vehicles; self-organising feature maps; travelling salesman problems; 1D Self-Organizing Map; Portuguese Navy; SOM; Search and Rescue request; TSP; Travelling Salesman Problem; density estimator; illegal fishing activities; marine patrol activities; path vessel design; patrol route; patrol vessels; Cities and towns; Economic forecasting; Environmental economics; Guidelines; Monitoring; Optimization methods; Protection; Self organizing feature maps; Strategic planning; Traveling salesman problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Oceans 2005 - Europe
Conference_Location
Brest, France
Print_ISBN
0-7803-9103-9
Type
conf
DOI
10.1109/OCEANSE.2005.1511777
Filename
1511777
Link To Document