Abstract
A Pareto genetic algorithm is applied to the optimization of low-thrust interplanetary spacecraft trajectories. A multiobjective, nondominated sorting genetic algorithm is developed following existing methodologies. A hybridized scheme is designed integrating the nondominated sorting 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 genetic algorithm is expanded to develop a series of versatile, high-performance Earth-Mars rendezvous trajectories.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 267-282 |
| Number of pages | 16 |
| Journal | Journal of the Astronautical Sciences |
| Volume | 46 |
| Issue number | 3 |
| State | Published - Jul 1998 |
ASJC Scopus subject areas
- Aerospace Engineering
- Space and Planetary Science