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dc.contributor.advisorSánchez Merino, Julio Césares
dc.contributor.advisorVázquez Valenzuela, Rafaeles
dc.creatorVillajos Molina, Juan Antonioes
dc.date.accessioned2020-12-15T16:15:31Z
dc.date.available2020-12-15T16:15:31Z
dc.date.issued2020
dc.identifier.citationVillajos Molina, J.A. (2020). An ant-colony based optimization algorithm for interplanetary trajectories. (Trabajo Fin de Grado Inédito). Universidad de Sevilla, Sevilla.
dc.identifier.urihttps://hdl.handle.net/11441/103259
dc.description.abstractHumanity’s interest in the heavens has led to space exploration, which helps to expand technology, create new industries and foster the links between nations. As an outgrowth of the mid-20th-century Cold War, the Space Race began. It was a series of competitive technology demonstrations between the United States and the Soviet Union, aiming to show superiority in spaceflight. Although the last years of the Space Race were focused on reaching the Moon, it is worthwhile to mention the effort made by the Soviet Union to visit other planets. In fact, in 1965, Venera 3 became the first spacecraft to land on another planet’s surface (Venus). (excerpted from the Introduction)es
dc.formatapplication/pdfes
dc.format.extent80es
dc.language.isoenges
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAn ant-colony based optimization algorithm for interplanetary trajectorieses
dc.typeinfo:eu-repo/semantics/bachelorThesises
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidoses
dc.description.degreeUniversidad de Sevilla. Grado en Ingeniería Aeroespaciales
dc.publication.endPage70 p.es

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