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.
Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm
J of Astronaut Sci
The Journal of the Astronautical Sciences ; 46 , 3 ; 267-282
01.09.1998
16 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Optimal Interplanetary Spacecraft Trajectories Via a Pareto Genetic Algorithm
British Library Conference Proceedings | 1998
|Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm
Online Contents | 1998
|Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm
Online Contents | 1998
|