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 |
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ASJC Scopus subject areas
- Aerospace Engineering
- Space and Planetary Science
Cite this
Optimal interplanetary spacecraft trajectories via a pareto genetic algorithm. / Hartmann, John W.; Coverstone, Victoria; Williams, Steven N.
In: Advances in the Astronautical Sciences, Vol. 99, No. 2, 01.12.1998, p. 1439-1454.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Optimal interplanetary spacecraft trajectories via a pareto genetic algorithm
AU - Hartmann, John W.
AU - Coverstone, Victoria
AU - Williams, Steven N.
PY - 1998/12/1
Y1 - 1998/12/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=0345763172&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0345763172
VL - 99
SP - 1439
EP - 1454
JO - Advances in the Astronautical Sciences
JF - Advances in the Astronautical Sciences
SN - 1081-6003
IS - 2
ER -