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)|
|Number of pages||16|
|Journal||Advances in the Astronautical Sciences|
|State||Published - Dec 1 1998|
ASJC Scopus subject areas
- Aerospace Engineering
- Space and Planetary Science