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.
Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm
1998
Article (Journal)
English
Optimal Interplanetary Spacecraft Trajectories Via a Pareto Genetic Algorithm
British Library Conference Proceedings | 1998
|Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm
Springer Verlag | 1998
|Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm
Online Contents | 1998
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