Computer Science – Performance
Scientific paper
Jan 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008acasn..49...45r&link_type=abstract
Acta Astronomica Sinica, vol. 49, no. 1, p. 45-54
Computer Science
Performance
2
Minor Planets, Asteroids: General, Methods: Numerical
Scientific paper
The problem of searching for exploration opportunity of near Earth objects is investigated. For rendezvous missions, the analytical gradients of performance index with respect to free parameters are derived by combining the calculus of variation with the theory of state-transition matrix. Then, some initial guesses are generated random in the search space, and the performance index is optimized with the guidance of analytical gradients from these initial guesses. This method not only keeps the property of global search in traditional method, but also avoids the blindness in the traditional exploration opportunity search; hence, the computing speed could be increased greatly. Furthermore, by using this method, the search precision could be controlled effectively.
Cui Ping-Yuan
Luan En-Jie
Ren Yan-Yu
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