ACM Transactions on Mathematical Software (TOMS)
Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories
Journal of Global Optimization
A hybrid multiagent approach for global trajectory optimization
Journal of Global Optimization
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
A global optimization method for the design of space trajectories
Computational Optimization and Applications
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We make use of self-adaptation in a Differential Evolution algorithm and of the asynchronous island model to design a complex interplanetary trajectory touring the Galilean Jupiter moons (Io, Europa, Ganymede and Callisto) using the multiple gravity assist technique. Such a problem was recently the subject of an international competition organized by the Jet Propulsion Laboratory (NASA) and won by a trajectory designed by aerospace experts and reaching the final score of 311/324. We apply our method to the very same problem finding new surprising designs and orbital strategies and a score of up to 316/324.