DocumentCode :
3057880
Title :
Ship maneuvering planning using swarm intelligence
Author :
Escario, Jose B. ; Jimenez, Juan F. ; Giron-Sierra, Jose M.
Author_Institution :
Arquitectura de Comput. y Autom. Dept., Univ. Complutense, Madrid, Spain
fYear :
2011
fDate :
6-9 June 2011
Firstpage :
1
Lastpage :
9
Abstract :
This paper introduces a new possible solution to the problem of manoeuvre planning for marine vehicles. This proposal is based on the use of a new swarm algorithm called Ant Colony Extended, a new kind of ant algorithm derived from Ant Colony Optimisation. This algorithm allows to include the vehicle´s model in the planning so the solutions obtained are always feasible. This approach was tested on different manoeuvre scenarios. For all of them the algorithm was able to obtain good solutions.
Keywords :
optimisation; planning (artificial intelligence); remotely operated vehicles; ships; ant colony optimisation; marine vehicle; ship maneuvering planning; swarm intelligence; vehicle model; Equations; Frequency modulation; Heuristic algorithms; Marine vehicles; Mathematical model; Optimization; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS, 2011 IEEE - Spain
Conference_Location :
Santander
Print_ISBN :
978-1-4577-0086-6
Type :
conf
DOI :
10.1109/Oceans-Spain.2011.6003449
Filename :
6003449
Link To Document :
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