Abstract
A Pareto genetic algorithm is applied to the optimization of low-thrust interplanetary spacecraft trajectories. A multi-objective, nondominated sorting genetic algorithm is developed following existing methodologies. A hybridized scheme is designed integrating the Pareto genetic algorithm with a calculus-of-variations-based trajectory optimization algorithm. "Families" of Pareto optimal trajectories are generated for the cases of Earth-Mars flyby and rendezvous trajectories. A novel trajectory type generated by the Pareto algorithm is expanded to develop a series of versatile, high-performance Earth-Mars rendezvous trajectories.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1439-1454 |
| Number of pages | 16 |
| Journal | Advances in the Astronautical Sciences |
| Volume | 99 |
| Issue number | 2 |
| State | Published - Dec 1 1998 |
| Externally published | Yes |
ASJC Scopus subject areas
- Aerospace Engineering
- Space and Planetary Science
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Hartmann, J. W., Coverstone-Carroll, V. L., & Williams, S. N. (1998). Optimal interplanetary spacecraft trajectories via a pareto genetic algorithm. Advances in the Astronautical Sciences, 99(2), 1439-1454.