Evolutionary computation for solving path planning of an autonomous surface vehicle using eulerian graphs

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URI
http://hdl.handle.net/20.500.14066/3660
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Autor(es)
Arzamendia López, Mario EduardoAutoridad CONACYT; Gutierrez Reina, Daniel; Toral Marin, Sergio; Gregor Recalde, Derlis OrlandoAutoridad CONACYT; Tawfik, Hisssam
Fecha de publicación
2018
Tipo de publicación
info:eu-repo/semantics/article
Materia(s)
Resumen
An evolutionary-based path planning is designed for an Autonomous Surface Vehicle (ASV) used in environmental monitoring tasks. The main objective is that the ASV covers the maximum area of a mass of water like the Ypacarai Lake while taking water samples for sensing pollution conditions.
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