Titolo | Design of robust space trajectories |
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Tipo di pubblicazione | Presentazione a Congresso |
Anno di Pubblicazione | 2011 |
Autori | Stracquadanio, G., La Ferla A., De Felice Matteo, and Nicosia G. |
Conference Name | Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. |
Conference Location | Cambridge |
ISBN Number | 9781447123170 |
Parole chiave | Algorithms, Artificial intelligence, European Space Agency, Global trajectories, Numerical results, Objective functions, Robustness analysis, Single variable, Space flight, Space trajectories, Trajectory designs |
Abstract | In this paper we apply a novel black-box optimisation algorithm to the Global Trajectory optimisation Problem provided by the European Space Agency (ESA). The proposed algorithm, called SAGES, has been applied to instances of seven trajectory design problems, comparing it with the known best solutions. The numerical results show clear improvements on the majority of the problems and, in order to investigate deeply the problems, a sensitivity and solutions robustness analysis has been performed, measuring the influence of each single variable to the objective function. © Springer-Verlag London Limited 2011. |
URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866360257&doi=10.1007%2f978-1-4471-2318-7-26&partnerID=40&md5=92e39ebe393f39fa7e0bac8204ac3f4e |
DOI | 10.1007/978-1-4471-2318-7-26 |
Citation Key | Stracquadanio2011341 |