Show simple item record

dc.contributor.authorAnglada, Eva Mª
dc.contributor.authorMartíinez Jiménez, Laura
dc.contributor.authorGarmendia Azurmendi, Ignacio
dc.date.accessioned2018-05-24T18:20:51Z
dc.date.available2018-05-24T18:20:51Z
dc.date.issued2017
dc.identifier.citationInternational Journal of Aerospace Engineering 2017 : (2017) // Article ID 7683457es_ES
dc.identifier.issn1687-5966
dc.identifier.issn1687-5974
dc.identifier.urihttp://hdl.handle.net/10810/27089
dc.description.abstractThe correlation of the thermalmathematical models (TMMs) of spacecrafts with the results of the thermal test is a demanding task in terms of time and effort. Theoretically, it can be automatized by means of optimization techniques, although this is a challenging task. Previous studies have shown the ability of genetic algorithms to perform this task in several cases, although some limitations have been detected. In addition, gradient-based methods, although also presenting some limitations, have provided good solutions in other technical fields. For this reason, the performance of genetic algorithms and gradient-based methods in the correlation of TMMs is discussed in this paper to compare the pros and cons of them. The case of study used in the comparison is a real space instrument flown aboard the International Space Station.es_ES
dc.language.isoenges_ES
dc.publisherHindawies_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.titlePerformance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecraftses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.hindawi.com/journals/ijae/2017/7683457/es_ES
dc.identifier.doi10.1155/2017/7683457
dc.departamentoesIngeniería mecánicaes_ES
dc.departamentoeuIngeniaritza mekanikoaes_ES


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record