Genetic algorithm: trajectory optimization for stratospheric balloons

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 whit minimum cost.Forecast atmospheric models and radio-soundings 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.