Optimal interplanetary spacecraft trajectories via a pareto genetic algorithm

John W. Hartmann; Victoria L. Coverstone-Carroll; Steven N. Williams

Optimal interplanetary spacecraft trajectories via a pareto genetic algorithm

John W. Hartmann, Victoria L. Coverstone-Carroll, Steven N. Williams

Research output: Contribution to journal › Article › peer-review

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

ASJC Scopus subject areas

Aerospace Engineering
Space and Planetary Science

Cite this

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Optimal interplanetary spacecraft trajectories via a pareto genetic algorithm

Abstract

ASJC Scopus subject areas

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