Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts
The 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 th...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/7683457 |
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| author | Eva Anglada Laura Martinez-Jimenez Iñaki Garmendia |
| author_facet | Eva Anglada Laura Martinez-Jimenez Iñaki Garmendia |
| author_sort | Eva Anglada |
| collection | DOAJ |
| description | The 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 aboard the International Space Station. |
| format | Article |
| id | doaj-art-e44c1e96efe24c9d9a362d4979b4a955 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-e44c1e96efe24c9d9a362d4979b4a9552025-02-03T05:52:01ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742017-01-01201710.1155/2017/76834577683457Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of SpacecraftsEva Anglada0Laura Martinez-Jimenez1Iñaki Garmendia2Industry and Transport Division, TECNALIA, Mikeletegi Pasealekua 2, 20009 San Sebastián (Donostia), SpainMechanical Engineering Department, Engineering School of Gipuzkoa, University of the Basque Country (UPV/EHU), Plaza de Europa 1, 20018 San Sebastián (Donostia), SpainMechanical Engineering Department, Engineering School of Gipuzkoa, University of the Basque Country (UPV/EHU), Plaza de Europa 1, 20018 San Sebastián (Donostia), SpainThe 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 aboard the International Space Station.http://dx.doi.org/10.1155/2017/7683457 |
| spellingShingle | Eva Anglada Laura Martinez-Jimenez Iñaki Garmendia Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts International Journal of Aerospace Engineering |
| title | Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts |
| title_full | Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts |
| title_fullStr | Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts |
| title_full_unstemmed | Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts |
| title_short | Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts |
| title_sort | performance of gradient based solutions versus genetic algorithms in the correlation of thermal mathematical models of spacecrafts |
| url | http://dx.doi.org/10.1155/2017/7683457 |
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