The objective of this research is to investigate the utility of micro genetic algorithms (GA) to determine the initial conditions of a spacecraft at the point of departure from Earth's orbit to make a successful lunar landing or a lunar flyby. The states of the spacecraft at the point at the destination are then obtained using the patched-conic approximation. As demonstrated in this work, faster convergence is obtained using micro genetic algorithms. This methodology can also be extended to interplanetary translation by utilizing the intermediate thrust of the spacecraft.
Evolutionary algorithms for parameter determination of patched conic approximation
2005 IEEE Aerospace Conference ; 501-506
2005-01-01
255382 byte
Conference paper
Electronic Resource
English
Evolutionary Algorithms for Parameter Determination of Patched Conic Approximation
British Library Conference Proceedings | 2005
|Evolutionary algorithms for parameter determination of patched conic approximation
Tema Archive | 2005
|NTRS | 2012
|Star Searches for Patched-Conic Trajectories
Springer Verlag | 2022
|SPHERE OF INFLUENCE IN PATCHED-CONIC METHODS
AIAA | 1963
|