TY - JOUR
T1 - Optimal multi-objective low-thrust spacecraft trajectories
AU - Coverstone-Carroll, V.
AU - Hartmann, J. W.
AU - Mason, W. J.
N1 - Funding Information:
The research described in this paper was partially sponsored by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The authors are grateful to S. Williams for providing his expertise in using SERTOP. Also many thanks to D. Goldberg for initially bringing to our attention the algorithm implemented in this study, and for providing many useful leads, including a referral to K. Deb whose advice was critical to this study. Many thanks as well to J. Norr for his contribution to this project, and many thanks to D. Carroll for developing the core GA software used in this study.
PY - 2000/6/9
Y1 - 2000/6/9
N2 - Genetic algorithms have gained popularity as effective search procedures for obtaining solutions to traditionally difficult space mission optimization problems. In this paper, a hybrid optimization method is described that integrates a multi-objective genetic algorithm with a calculus-of-variations-based low-thrust trajectory optimizer. Fronts of Pareto optimal trajectories are generated and novel trajectories identified for both Earth-Mars and Earth-Mercury missions.
AB - Genetic algorithms have gained popularity as effective search procedures for obtaining solutions to traditionally difficult space mission optimization problems. In this paper, a hybrid optimization method is described that integrates a multi-objective genetic algorithm with a calculus-of-variations-based low-thrust trajectory optimizer. Fronts of Pareto optimal trajectories are generated and novel trajectories identified for both Earth-Mars and Earth-Mercury missions.
KW - Low-thrust trajectories
KW - Multi-objective space mission design
KW - Optimal spacecraft trajectories
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U2 - 10.1016/S0045-7825(99)00393-X
DO - 10.1016/S0045-7825(99)00393-X
M3 - Article
AN - SCOPUS:0033728969
SN - 0045-7825
VL - 186
SP - 387
EP - 402
JO - Computer Methods in Applied Mechanics and Engineering
JF - Computer Methods in Applied Mechanics and Engineering
IS - 2-4
ER -