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

dc.contributorUniversidad Nacional de Asunción - Facultad de Ingeniería
dc.creatorArzamendia López, Mario Eduardo
dc.creatorGutierrez Reina, Daniel
dc.creatorToral Marin, Sergio
dc.creatorGregor Recalde, Derlis Orlando
dc.creatorTawfik, Hisssam
dc.date2022-04-27T00:30:34Z
dc.date2022-04-27T00:30:34Z
dc.date2018
dc.date.accessioned2023-09-25T13:31:44Z
dc.date.available2023-09-25T13:31:44Z
dc.identifierhttp://hdl.handle.net/20.500.14066/3660
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8807587
dc.descriptionAn 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.
dc.descriptionCONACYT – Consejo Nacional de Ciencia y Tecnología
dc.descriptionPROCIENCIA
dc.languageeng
dc.relationPINV15-177
dc.rightsembargoed access
dc.rights© 2018 IEEE
dc.subject2 Medio ambiente
dc.subjectAUTONOMOUS SURFACE VEHICLES (ASVS)
dc.subjectCOVERAGE PATH PLANNING
dc.subjectEULERIAN CIRCUITS (ECS)
dc.subjectGENETIC ALGORITHMS
dc.subjectMEDIO AMBIENTE
dc.titleEvolutionary computation for solving path planning of an autonomous surface vehicle using eulerian graphs
dc.typeresearch article


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