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 :
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