Statistics – Computation
Scientific paper
Aug 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005esasp.590..457m&link_type=abstract
In: 17th ESA Symposium on European Rocket and Balloon Programmes and Related Research, 30 May - 2 June 2005, Sandefjord, Norway.
Statistics
Computation
Techniques, Instrumentation, Balloons, Stratosphere
Scientific paper
Genetic algorithms are versatile methods for the optimization problems. Varying the fitness function the solutions will solve different problems, or the same problem in different ways. They could be applied to stratospheric balloon flight, to analyze how valves and ballast can make altitude transfers and trajectory variation. The ascending phase can be optimized for high-populated areas avoidance. Floating phase can be adjusted for rendezvous opportunities or for altitude maintenance with minimum cost. Forecast atmospheric models and radiosoundings give the wind direction and speed. The trajectory prediction uncertainty should be taken into account. Real time applications are also possible. A workstation could find the optimal maneuvers' sequence during the flight, starting from actual balloon position. Parallel architecture could reduce the computational time.
Cardillo Andrea
Ibba Roberto
Musso Ivano
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