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Título:
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A multiobjective optimization issue: genetic control planning or trajectories.
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Autores:
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Girón Sierra, José María ;
Fernández-Prisuelos, J. ;
Andrés Toro, Bonifacio de ;
Cruz García, Jesús Manuel de la
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Tipo de documento:
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texto impreso
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Editorial:
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World Scientific and Engineering Acad and Soc, 2005
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Informática
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Tipo = Sección de libro
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Resumen:
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Part of a research project on cooperative marine robotics is the scenario of a submarine rendez-vous. This paper considers this case, where a high-manoeuvrability AUV (autonomous underwater vehicle) should meet a submarine platform for energy, samples and data service. Since the AUV is equipped with a set of thrusters, the problem of an adequate command of the thrusters appears. Given initial and final points for the AUV underwater trajectory, the question is to determine the set of forces and times to be exerted by the thrusters to get an adequate trajectory. Several constraints and simultaneous objectives to be optimized must be considered. Given the complexity of the multi-objective optimisation problem, it seems opportune to use Genetic Algorithms. The paper describes the problem to be solved, then explains how the GA were applied, and presents results for a set of cases considered, including obstacle avoidance.
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En línea:
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https://eprints.ucm.es/id/eprint/25301/1/cruzgarcia37.pdf
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