Astronomy and Astrophysics – Astronomy
Scientific paper
Nov 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009cemda.105..211r&link_type=abstract
Celestial Mechanics and Dynamical Astronomy, Volume 105, Issue 1-3, pp. 211-227
Astronomy and Astrophysics
Astronomy
2
Trajectory Optimization, Evolutionary Algorithms, Mission Planning, Hybrid Algorithm, Earth–Mars Round-Trip Mission
Scientific paper
A hybrid evolutionary algorithm which synergistically exploits differential evolution, genetic algorithms and particle swarm optimization, has been developed and applied to spacecraft trajectory optimization. The cooperative procedure runs the three basic algorithms in parallel, while letting the best individuals migrate to the other populations at prescribed intervals. Rendezvous problems and round-trip Earth-Mars missions have been considered. The results show that the hybrid algorithm has better performance compared to the basic algorithms that are employed. In particular, for the rendezvous problem, a 100% efficiency can be obtained both by differential evolution and the genetic algorithm only when particular strategies and parameter settings are adopted. On the other hand, the hybrid algorithm always attains the global optimum, even though nonoptimal strategies and parameter settings are adopted. Also the number of function evaluations, which must be performed to attain the optimum, is reduced when the hybrid algorithm is used. In the case of Earth-Mars missions, the hybrid algorithm is successfully employed to determine mission opportunities in a large search space.
Casalino Lorenzo
Rosa Sentinella Matteo
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