Response Modelling and Optimization for Mars Entry Vehicles

Although the martian atmosphere is thin, it is significant enough to be factored into entry, decent, and landing models. For our AE 498 Computational Systems Engineering final project, we compare the results of multiple linear regression, artificial neural networks, particle swarm optimization, and genetic algorithm (NGSA-II) to understand the contribution of each of the following inputs to each output.

mars_edl_para

Full results discussed here

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