Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts

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dc.contributor.authorAnglada, Eva
dc.contributor.authorMartinez-Jimenez, Laura
dc.contributor.authorGarmendia, IƱaki
dc.contributor.institutionCIRMETAL
dc.date.issued2017-05-24
dc.descriptionPublisher Copyright: Ā© 2017 Eva Anglada et al.
dc.description.abstractThe correlation of the thermal mathematical 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 on board the International Space Station.en
dc.description.statusPeer reviewed
dc.format.extent12
dc.format.extent2586198
dc.identifier.citationAnglada , E , Martinez-Jimenez , L & Garmendia , I 2017 , ' Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts ' , International Journal of Aerospace Engineering , vol. 2017 , 7683457 , pp. 1-12 . https://doi.org/10.1155/2017/7683457
dc.identifier.doi10.1155/2017/7683457
dc.identifier.issn1687-5966
dc.identifier.otherresearchoutputwizard: 11556/406
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85021739915&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofInternational Journal of Aerospace Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsThermal Mathematical Model
dc.subject.keywordsSpace
dc.subject.keywordsCorrelation
dc.subject.keywordsModel adjustment
dc.subject.keywordsOptimization
dc.subject.keywordsGradient-Based solutions
dc.subject.keywordsGenetic algorithms
dc.subject.keywordsThermal Mathematical Model
dc.subject.keywordsSpace
dc.subject.keywordsCorrelation
dc.subject.keywordsModel adjustment
dc.subject.keywordsOptimization
dc.subject.keywordsGradient-Based solutions
dc.subject.keywordsGenetic algorithms
dc.subject.keywordsAerospace Engineering
dc.titlePerformance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecraftsen
dc.typejournal article
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