AAS 98-202

OPTIMAL INTERPLANETARY SPACECRAFT TRAJECTORIES VIA A PARETO GENETIC ALGORITHM

J. W. Hartmann, V. L. Coverstone-Carroll - University of Illinois at Urbana-Champaign; S. N. Williams - Jet Propulsion Laboratory

Abstract

A Pareto genetic algorithm is applied to the optimization of low-thrust interplanetary spacecraft trajectories. A multi-objective, nondominated sorting 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, Earth-Mars rendezvous, and Earth-Mercury rendezvous trajectories.

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